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McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Role Overview The Lead Business Strategic Insights role partners closely with leaders across Commercial Strategy & Innovation (CSI) to develop data-driven solutions that accelerate business growth, enhance customer outcomes, and bring innovative products to market. This individual will leverage advanced analytics, artificial intelligence, machine learning, and business insights to solve complex challenges, uncover opportunities, and drive strategic decision-making across the organization. This role will participate throughout the full solution lifecycle, from ideation and proof of concept through production deployment and business adoption. Success in this position requires a combination of analytical expertise, business acumen, technical proficiency, and stakeholder influence. Key Responsibilities Accelerate AI-enabled decision-making by partnering with data governance, product, and technology teams to leverage governed data assets, semantic layers, and AI/LLM technologies that enable business users to access trusted insights more efficiently. Design and develop heuristics, optimization models, and advanced analytics solutions across customer, product, and operational domains to improve business outcomes. Utilize qualitative and quantitative data to identify opportunities, develop hypotheses, pilot proof-of-concept solutions, and scale successful models across the enterprise. Apply data science and analytical methodologies to identify market trends, process improvement opportunities, strategic synergies, and actionable business recommendations. Support digital data acquisition and integration strategies while building scalable data pipelines that complement existing enterprise data assets. Leverage CSI's data infrastructure to develop next-generation analytical models focused on customer value creation, margin expansion, and operational efficiencies. Drive experimentation and causal learning through pilots, A/B testing, and other measurement methodologies to quantify business impact and improve decision-making. Break down complex business challenges into scalable workstreams and collaborate across functional teams to drive solution adoption and implementation. Develop and deploy scalable Python-based APIs and data products that integrate with enterprise applications and business systems. Build and scale AI agents that enable business users to interact with data using natural language, uncover insights, identify opportunities, and make faster, more informed decisions. Present findings, recommendations, and business cases to senior leaders and cross-functional stakeholders. Minimum Requirements Bachelor's degree in Business, Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field, or equivalent experience. Typically requires 7+ years of relevant professional experience in analytics, data science, business intelligence, strategy, or a related discipline. Critical Skills 5+ years of experience in analytics, data science, business intelligence, or a related field. Proven experience leveraging analytics to drive measurable business value and strategic outcomes. Strong understanding of software engineering principles and API development used to commercialize analytical products and solutions. Advanced communication, presentation, and stakeholder management skills. Hands-on experience with Python, including libraries such as Pandas, Scikit-learn, NumPy, and related tools. Advanced SQL skills with experience querying and manipulating large, complex datasets. Strong understanding of machine learning techniques, including clustering, regression, anomaly detection, forecasting, classification, deep learning, and time series analysis. Experience working with cloud-based data platforms and modern analytics ecosystems. Experience building, deploying, or leveraging AI and generative AI solutions within business environments. Preferred Qualifications Experience working in healthcare, distribution, pharmaceutical, or supply chain environments. Experience with experimental design, causal inference, and business impact measurement. Familiarity with modern AI frameworks, large language models (LLMs), and agentic AI solutions. Experience building scalable data products and deploying machine learning models into production environments. Demonstrated success influencing business decisions through analytics and strategic insights. Additional Skills Passion for using data to solve complex business problems. Strong business acumen and strategic thinking capabilities. Ability to balance technical depth with business priorities. Self-starter with a continuous improvement mindset. Strong collaboration and relationship-building skills across functions and leadership levels. This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

AI Engineer 3 (AI Foundations) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. R AI Engineer 3 (AI Foundations) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 3 (AI Foundations) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. R AI Engineer 3 (AI Foundations) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description Job Description Description: Position Summary Avum is seeking an AI/ML Integration Specialist to integrate artificial intelligence and machine learning capabilities into business applications and technology platforms. This role works with engineering, data, and business teams to turn AI solutions into reliable, secure, and scalable production capabilities. Key Responsibilities Design, develop, and maintain integrations connecting AI/ML models, APIs, and services with existing applications. Implement generative AI, large language models (LLMs), natural language processing, computer vision, and predictive analytics capabilities to support business needs. Build and maintain APIs, data pipelines, middleware, and integration workflows. Collaborate with data scientists, engineers, product teams, and business stakeholders to define requirements and move models from development into production. Evaluate and improve AI solution performance, scalability, security, reliability, and cost. Monitor deployed solutions, troubleshoot issues, and establish practices for testing, version control, deployment, and ongoing monitoring. Ensure solutions meet organizational security, privacy, governance, and responsible AI requirements. Document architectures, integrations, and operating procedures, and recommend emerging technologies that support business goals. Compensation Actual compensation and position level will be determined based on experience, qualifications, certifications, geographic location, and the responsibilities of the assigned role. Avum offers a comprehensive benefits package including medical (Cigna), dental and vision (Principal), 401(k), PTO, education reimbursement, and certification reimbursement. Work Environment & Requirements Hybrid/remote work environment with potential on-site requirements based on contract needs U.S. citizenship required Security clearance may be required based on contract assignment Equal Employment Opportunity Avum, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected class under federal, state, or local law. Avum is committed to compliance with Section 503 of the Rehabilitation Act and VEVRAA, and maintains an active Affirmative Action Plan. Requirements: Required Qualifications U.S. citizenship with the ability to obtain and maintain a U.S. Government security clearance. Bachelor's degree in Computer Science, Software Engineering, Data Science, AI/ML, or a related field. Three or more years of experience in software engineering, systems integration, ML engineering, data engineering, or a related discipline. Experience integrating REST APIs, SDKs, microservices, and third party platforms. Strong programming skills in Python and/or Java, JavaScript, or TypeScript. Understanding of machine learning concepts, the model lifecycle, and AI application architecture. Experience working with databases, data pipelines, JSON, SQL, and cloud environments. Familiarity with Git, CI/CD, testing, logging, monitoring, and production deployment practices. Strong analytical, troubleshooting, communication, and problem solving skills. Preferred Qualifications Experience integrating LLMs and generative AI applications using OpenAI, Azure AI, AWS AI/ML, Google Cloud AI, or comparable platforms. Knowledge of retrieval augmented generation (RAG), vector databases, embeddings, and semantic search. Experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn. Familiarity with Docker, Kubernetes, serverless architectures, and cloud native development. Experience with MLOps, LLMOps, and model monitoring. Knowledge of AI security, governance, privacy, and responsible AI practices. Experience integrating AI capabilities with Salesforce, ServiceNow, SAP, Microsoft Dynamics, or similar enterprise platforms.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.