Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science
09/28/2026
Full time
Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science
Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in Dallas, Texas and requires onsite customer interfacing. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.
09/28/2026
Full time
Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in Dallas, Texas and requires onsite customer interfacing. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.
Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in San Francisco, Bay Area. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.
09/28/2026
Full time
Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in San Francisco, Bay Area. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/28/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/28/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/28/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/28/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/28/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/28/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/28/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/28/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/28/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/28/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/28/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/28/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/28/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/28/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/28/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/28/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/28/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.