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Job Description About the Role: We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. Advantages of contracting with us: Choose which projects you want to work on and when. Work with state-of-the-art and unreleased AI coding agents. Work on your own schedule, using your own computer, from the comfort of your home. Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects. Responsibilities: Create and work with coding environments, unit tests, and verifiers. Design and solve diverse coding problems used to train AI systems. Write clear, high-quality code and technical explanations. Evaluate model trajectories for accuracy, performance, readability, and best practices. Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions. Provide structured feedback that helps improve the next generation of AI models. Qualifications: Fluency in English (native or bilingual level). Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React. Strong software engineering fundamentals, including problem-solving, debugging, and code review. Excellent written communication skills. A bachelor's degree (completed or in progress). Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.

Job Description About the Role: We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. Advantages of contracting with us: Choose which projects you want to work on and when. Work with state-of-the-art and unreleased AI coding agents. Work on your own schedule, using your own computer, from the comfort of your home. Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects. Responsibilities: Create and work with coding environments, unit tests, and verifiers. Design and solve diverse coding problems used to train AI systems. Write clear, high-quality code and technical explanations. Evaluate model trajectories for accuracy, performance, readability, and best practices. Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions. Provide structured feedback that helps improve the next generation of AI models. Qualifications: Fluency in English (native or bilingual level). Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React. Strong software engineering fundamentals, including problem-solving, debugging, and code review. Excellent written communication skills. A bachelor's degree (completed or in progress). Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.

JOB TITLE: SOFTWAR DEVELOPER JOB LOCATION: TEWKSBURY, MA WAGE RANGE : 88.00-93.00 PER HOUR JOB NUMBER: RTXCJP JOB DESCRIPTION Assist and participate in the requirements, design, development and testing of real-time embedded software, application software, and tools, to include development of new work products or enhancement of existing applications and systems. Design, code, test, integrate, and document software solutions. Participate in internal review of software components and systems. Collaborate with project managers and other professionals within Engineering. Follow established development practices and processes to maintain the configuration management of software products. Qualifications We Prefer Knowledge of data structures and algorithms, systems software design, operating systems, architectures, software development life cycle and processes. Experience in software development, and with Windows and Linux Operating Systems, GIT, Jira, Jenkins, Perl, Bash, and Kornshell. Experience developing software in a team-based development environment, preferably Agile/SCRUM, DevOps and test automation. Strong problem-solving and communication skills, including ability to produce technical documentation, and the desire to learn new technologies and tools. Able to travel domestic and international. Demonstrated ability to work effectively with coworkers. Demonstrated ability to work with colleagues who represent multiple work and conflict resolution styles. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

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).

Director, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 3 years of people leadership experience At least 8 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer 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: We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. Advantages of contracting with us: Choose which projects you want to work on and when. Work with state-of-the-art and unreleased AI coding agents. Work on your own schedule, using your own computer, from the comfort of your home. Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects. Responsibilities: Create and work with coding environments, unit tests, and verifiers. Design and solve diverse coding problems used to train AI systems. Write clear, high-quality code and technical explanations. Evaluate model trajectories for accuracy, performance, readability, and best practices. Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions. Provide structured feedback that helps improve the next generation of AI models. Qualifications: Fluency in English (native or bilingual level). Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React. Strong software engineering fundamentals, including problem-solving, debugging, and code review. Excellent written communication skills. A bachelor's degree (completed or in progress). Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.

Req ID: 579 Job Title: SOFTWARE ENGINEER I Location: Jacksonville, FL, US 32201 Job Type: Full-Time Education: High School Diploma / GED Travel: Up to 10% Job Requirements: Knowledge, Skills, and Abilities • Proficient with C++ and/or C# is required. • Experience with UNIX/LINUX operating systems is preferred. • Experience with MS Visual Studio and Open GL is preferred. • Experience with Unity/Unreal is preferred. • Must be self-motivated. • Must be a quick learner. • Ability to communicate effectively, both verbally and in writing. • Must be able to obtain a security clearance when required by the contract. Education and Experience • Bachelor of Science (BS) degree in computer simulation, engineering, game development, or a similar field is preferred; or • AA/AS degree in a related field and two (2) years of experience in a programming or engineering field; or • High school diploma or equivalent and four (4) years of experience in a programming or engineering field. • Unreal Engine 5 experience. PIed92d8fee99f-6050

Director, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 3 years of people leadership experience At least 8 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer 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).

Description: Base Hourly Range : $60,000-$80,000 Reports to: Engineering Mgr or CAD Administrator Annual Bonus : No Direct Reports : None Remote: No Status : Exempt Company Website: ABOUT SCHNEIDER At Schneider Packaging Equipment Company, Inc. ("Schneider"), we believe innovation starts with the consumer. This approach has propelled our success in developing real-world solutions that allow us to automate the supply of life's products. With over 50 years of industry problem-solving in end-of-line automation, Schneider is a leading manufacturer of case packing and robotic palletizing solutions. Headquartered in Upstate New York, we design state-of-the-art machinery for customers in industries such as: food and beverage, dairy, pharmaceutical, personal care, plastics, and paper. Schneider is now a part of the Pacteon family of companies. Our continued growth has allowed us to really be our Customer's one source for end of line packaging solutions. ABOUT PACTEON Pacteon Group provides one source for best-in-class automation focused on end of line packaging solutions, providing the highest-level customer experience. Through a broad range of robotic and non-robotic equipment, ability to integrate solutions seamlessly across portfolio companies, and full sales and service coverage, Pacteon is uniquely positioned to design flexible and custom solutions for your automation needs. For more information on Pacteon, please visit . OUR CORE VALUES We believe and live our Core Values, our IPACT: I ntegrity P ride A ccountability C ustomer Service T eamwork Our Pacteon Promise is "We make it right". As our customer's one source for end-of-line packaging solutions, everyone plays an important role to make that happen. We provide internal growth paths for our employees and support them in their professional development goals. Diversity is important to us; we are proudly an Equal Opportunity Employer striving for innovation and growth both for our employees and our Company. SUMMARY AND PURPOSE Provide support to the engineer design teams through design and drawing creation for components, assemblies, project documentation, and the Pacteon quality system. Provide direction and guidance to Shop, Assembly, and Electrical personnel as required Owner of all tasks associated with machine manual generation Deepen the understanding of products, customers, goals, organization, and business strategies, evaluating systems and processes, and identifying improvement needs. Develop and implement processes that improve engineering and manufacturing production and deliver quality outputs. Meet Schneider's quality standards while maintaining working knowledge of relevant technologies and best practices. KEY RESPONSIBILITIES Equipment Design Assist Mechanical design teams through the design and drafting of machine components using established design standards, design blocks and project requirements. Assist Controls design teams through the design and drafting of electrical drawings, blocks, updating red marks, UL checks, and other project requirements. Complete machine documentation (machine manual, installation guides, and as requested by Design Team. Contribute, as a member of a team of design professionals, to achieve project, department, and company goals. Work on multiple, simultaneous projects within multiple design teams. Communication Communicate in a manner that assures clarity and understanding with both internal and external customers. Collaborates with controls engineers to gather screenshots needed to complete manuals Attend department and process driven meetings as requested. Recommend improvements in the company's offerings and work procedures utilizing the Action Request and EAR process. Travel required may include field support for customers to ensure satisfactory operation of machines, vendor support, training and/or trade show support. Approximately 5-10%. Must maintain valid enhanced driver's license and/or passport for travel. Build professional skill through continued training, education, and networking events. Perform other related duties as assigned by management. Requirements: PROFESSIONAL QUALIFICATIONS Education: o AS in Mechanical Technology or equivalent. Experience: o 2+ years of experience in a design-build manufacturing environment as an engineer with management responsibilities. o Project management experience preferred. Skills: o Advanced training/education in engineering, leadership and project management preferred. o Microsoft technology and relevant design and life cycle management software. o Proven ability to work in a cross functional team environment. o Highly effective time management, personal organization, and communication skills. o Demonstrates strong attention to detail while multi-tasking to achieve quality, timely completions of tasks. o A "Results Oriented" attitude coupled with a strong sense of accountability. Employment Conditions: o Valid driver's license and acceptable motor vehicle record. PHYSICAL REQUIREMENTS & WORK REQUIREMENTS Physical Requirement Never Sometimes Frequently Sitting X Standing/Walking X Lifting/Carrying Upto 10 lbs X Lifting/Carrying Upto 30 lbs X Pushing/Pulling X Keyboarding X Gross Manipulation X Fine Manipulation X Driving X Stooping X Speaking X Hearing X Near Visual Acuity X Compensation details: 0 Yearly Salary PIe38986c67e74-6189

Job Description About the Role: We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. Advantages of contracting with us: Choose which projects you want to work on and when. Work with state-of-the-art and unreleased AI coding agents. Work on your own schedule, using your own computer, from the comfort of your home. Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects. Responsibilities: Create and work with coding environments, unit tests, and verifiers. Design and solve diverse coding problems used to train AI systems. Write clear, high-quality code and technical explanations. Evaluate model trajectories for accuracy, performance, readability, and best practices. Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions. Provide structured feedback that helps improve the next generation of AI models. Qualifications: Fluency in English (native or bilingual level). Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React. Strong software engineering fundamentals, including problem-solving, debugging, and code review. Excellent written communication skills. A bachelor's degree (completed or in progress). Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.

Job Description About the Role: We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. Advantages of contracting with us: Choose which projects you want to work on and when. Work with state-of-the-art and unreleased AI coding agents. Work on your own schedule, using your own computer, from the comfort of your home. Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects. Responsibilities: Create and work with coding environments, unit tests, and verifiers. Design and solve diverse coding problems used to train AI systems. Write clear, high-quality code and technical explanations. Evaluate model trajectories for accuracy, performance, readability, and best practices. Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions. Provide structured feedback that helps improve the next generation of AI models. Qualifications: Fluency in English (native or bilingual level). Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React. Strong software engineering fundamentals, including problem-solving, debugging, and code review. Excellent written communication skills. A bachelor's degree (completed or in progress). Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.

Job Description Job Description Why Join Ford AV? For over 50 years, Ford AV has helped shape how people experience spaces-through sound, video, and innovation. We work with leading businesses, universities, and public institutions across the U.S. to bring technology to life. At Ford AV, you'll find: Real opportunities to grow your skills and your career Hands-on training and industry certifications A steady, supportive team environment Competitive pay, full benefits, and 401(k) match Description As a Job Superintendent, you'll take ownership of commercial AV installation projects, ensuring they are executed seamlessly from start to finish. You'll provide leadership on-site, aligning teams, timelines, and resources to deliver high-quality results. In this role, you'll serve as the central point of accountability, balancing client expectations, safety, and technical excellence to keep projects moving forward successfully. Oversee commercial AV installation projects from planning to completion Lead and motivate field technicians, manage schedules, and enforce safety Interpret blueprints and schematics; ensure technical accuracy Maintain project documentation, tool inventory, and equipment safety Act as the key on-site contact for quality and client satisfaction Qualifications Experience managing commercial construction or AV installations Ability to read technical plans and operate hand/power tools Strong leadership and communication skills OSHA 30 and/or CTS certifications preferred Ability to travel and work at heights and construction sites Preferred Qualifications: OSHA 10 or OSHA 30; CTS or CTS-I; BICSI, NCET, PMP, or manufacturer certifications such as Crestron, Extron, Biamp, QSC, Shure, Cisco, Poly, or Zoom. Experience in commercial construction, electrical construction, telecommunications, security systems, access control, CCTV, network cabling, fiber optics, unified communications, building automation, smart building technology, or fire alarm systems. Apply Today Start your AV career with a team that values your skills and supports your growth. Apply at: Drug-Free Workplace Ford is committed to maintaining a drug-free workplace and, therefore, all employees are subject to drug testing. Moreover, pre-employment, random, reasonable suspicion and/or post-accident drug testing may be conducted in accordance with company policy and all applicable laws to ensure a safe and healthy work environment. All applicants for this position tentatively selected for employment at Ford are subject to pre-employment drug testing and a final offer of employment is contingent upon a negative drug test result. EOE/AA/M/F/D/V. Physical Requirements The combination of physical and mental requirements is necessary for completing the responsibilities, essential functions, and meeting the demands of the role. The employee must have the ability to lift and move objects weighing up to 50 pounds, climb ladders up to 20 feet tall, and work in extreme weather conditions, including hot and cold temperatures. They may also be required to work in dusty or unclean environments, confined spaces, and on uneven surfaces. Safety is paramount, necessitating effective communication with colleagues and constant alertness to surroundings. The employee will be frequently required to stand, walk, reach, climb, and perform tasks that involve stooping, kneeling, crouching, or crawling. Additionally, the job may require long hours, night shifts, weekend work, and holiday commitments, including extensive travel for weeks at a time. The employee must be able to apply established protocols in a timely manner to meet deadlines and effectively communicate to successfully perform all required responsibilities. Company Description Ford Audio Video (Ford AV) is a premier AV integrator specializing in the design, installation, and service of sound, audio-video, network infrastructure, and security systems for industries including business, education, healthcare, government, entertainment, and more. Founded in 1973, Ford AV operates nationwide with over 600 employees and offices in major U.S. cities. We deliver enterprise-level solutions for environments like stadiums, airports, corporate offices, healthcare facilities, and houses of worship, with expertise in digital signage, video walls, sound systems, videoconferencing, and intricate lighting systems for performance halls. Recognized as one of the top AV integrators in the country, Ford AV has completed some of the largest and most complex projects for clients such as ExxonMobil, AT&T, Apple, and the U.S. House of Representatives. Our digital systems, managed by custom software developed by in-house engineers, are known for their reliability and performance. Ford AV has also designed and installed critical systems for telecommunication providers and military command centers, making us a trusted partner for high-stakes projects across the globe. Learn more about our work on our company page under Ford AV Projects. Company Description Ford Audio Video (Ford AV) is a premier AV integrator specializing in the design, installation, and service of sound, audio-video, network infrastructure, and security systems for industries including business, education, healthcare, government, entertainment, and more. Founded in 1973, Ford AV operates nationwide with over 600 employees and offices in major U.S. cities. We deliver enterprise-level solutions for environments like stadiums, airports, corporate offices, healthcare facilities, and houses of worship, with expertise in digital signage, video walls, sound systems, videoconferencing, and intricate lighting systems for performance halls. Recognized as one of the top AV integrators in the country, Ford AV has completed some of the largest and most complex projects for clients such as ExxonMobil, AT&T, Apple, and the U.S. House of Representatives. Our digital systems, managed by custom software developed by in-house engineers, are known for their reliability and performance. Ford AV has also designed and installed critical systems for telecommunication providers and military command centers, making us a trusted partner for high-stakes projects across the globe. Learn more about our work on our company page under Ford AV Projects.

Job Description About the Role: We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. Advantages of contracting with us: Choose which projects you want to work on and when. Work with state-of-the-art and unreleased AI coding agents. Work on your own schedule, using your own computer, from the comfort of your home. Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects. Responsibilities: Create and work with coding environments, unit tests, and verifiers. Design and solve diverse coding problems used to train AI systems. Write clear, high-quality code and technical explanations. Evaluate model trajectories for accuracy, performance, readability, and best practices. Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions. Provide structured feedback that helps improve the next generation of AI models. Qualifications: Fluency in English (native or bilingual level). Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React. Strong software engineering fundamentals, including problem-solving, debugging, and code review. Excellent written communication skills. A bachelor's degree (completed or in progress). Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.

Job Description Job Description Full-time Company Description Mission Critical Group (MCG ) is an end-to-end power solutions and services provider that accelerates time-to-power and delivers scalable, resilient infrastructure for mission critical environments. By integrating engineering, manufacturing, modular deployment, and lifecycle services under one platform, we streamline execution and bring complex projects online faster - without compromising performance. With a robust U.S. manufacturing network, MCG supports data centers, power generation, healthcare, oil & gas, pharmaceuticals, semiconductors, and industrial facilities where uptime is non-negotiable. Mission Critical Group designs, manufactures and provides value-added services for customers requiring critical power solutions. Powering a new electric world for a brighter, more secure future. Job Description The Testing Technician is responsible for performing testing and troubleshooting during the final assembly phase of electrical control and distribution equipment prior to customer delivery. This role ensures product quality, compliance, and optimal functionality by verifying that all assemblies meet engineering specifications, customer requirements, and applicable industry standards. The Testing Technician works closely with production, engineering, and quality teams to identify and resolve issues before shipment. Accountabilities Demonstrate technical skills regarding performing diagnostics, troubleshooting, and testing for reliability on Low, Medium, and Arc-Resistant switchgear and electrical control equipment using tools such as multimeters etc. Verify and document HIPOT tests on copper bus. Ensure final product is consistent with technical schematics, perform basic device programming, and repair all custom-built equipment prior to client shipment as a measure of quality control. Perform Factory Acceptance Tests to show the functionality of Mission Critical Group products and advise of interfacing capabilities with clients existing equipment under the direction of senior team members. Identify functionality or defects through visual and electrical inspections on power distribution equipment and assist senior team members with maintenance or repairs within testing guidelines. Assist senior team members with design verifications and product reliability demonstrations during client witness testing activities under supervision. Perform other duties as assigned. Qualifications Required knowledge/Experience 0-1 years of experience in wiring or assembling electrical control and distribution equipment, preferably in a switchgear or industrial manufacturing environment. Working knowledge of engineering principles, techniques, and procedures as applied to the design and production of electrical equipment. Understanding raw materials, production processes, and manufacturing techniques. Knowledge of design techniques, tools, and principals involved in the production of technical plans, blueprints, drawings, and models. Knowledge of machines and tools, including their designs, uses, repair, and maintenance. Testing tools include MPRT, secondary injection units, digital ratiometers, CT testers, digital multimeters, Fluke meters, AC and DC high-potential testers, high-voltage testers, basic hand tools, and testing jumpers. Proficiency with computer hardware and software, including Microsoft Office Suite. Intermediate written and verbal communication skills, including the ability to read and interpret technical procedures, write reports and correspondence, and present information to managers and customers. Solid mathematical skills, including the ability to calculate figures, proportions, and measurements. Strong attention to quality with the ability to follow procedures carefully and strive for accuracy in all work. Self-motivated with the ability to identify and resolve issues independently while maintaining adherence to guidelines and procedures. Ability to work collaboratively with peers, leadership, and cross-functional teams. Customer-oriented with a proactive approach to supporting internal and external needs. Preferred 1 year of experience troubleshooting electrical and mechanical systems Education High School Diploma or GED required . Work Environment and Physical Demands This is a FLSA non-exempt position paid on an hourly basis. Overtime may be required based on production demands, including extended shifts, weekends, or holidays. This role is based on the production floor. The position requires standing for extended periods, working around machinery, and adherence to all safety and compliance standards. Mobility : Ability to move around the manufacturing plant, including walking, standing, and climbing stairs. Manual Dexterity : Occasional use of hands to handle or feel objects, tools, or controls. Lifting : Ability to lift and carry items up to fifty (50) pounds. All lifting should be done following OSHA standards. Visual and Auditory Requirements : Must be able to see and hear well enough to navigate the plant safely and communicate effectively with team members. Additional Information A Note to our Recruitment Partners: We really appreciate the interest, but MCG currently manages hiring through our internal team. We love getting to know our candidates directly! Because of this, we dont accept unsolicited resumes from agencies at this time. If we ever need an extra hand, well be sure to reach out to the community. Thanks for understanding! MCG is an equal opportunity employer prohibiting discrimination based on race, color, creed, religion, sex, marital status, physical or mental disability, and any other protected classes stated by applicable federal and state laws. MCG is committed to providing equal employment opportunities to qualified individuals with disabilities and to act in accordance with regulations and guidance issued by the Equal Employment Opportunity Commission (EEOC). PIb663a562e23c-3504

Job Description About the Role: We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. Advantages of contracting with us: Choose which projects you want to work on and when. Work with state-of-the-art and unreleased AI coding agents. Work on your own schedule, using your own computer, from the comfort of your home. Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects. Responsibilities: Create and work with coding environments, unit tests, and verifiers. Design and solve diverse coding problems used to train AI systems. Write clear, high-quality code and technical explanations. Evaluate model trajectories for accuracy, performance, readability, and best practices. Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions. Provide structured feedback that helps improve the next generation of AI models. Qualifications: Fluency in English (native or bilingual level). Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React. Strong software engineering fundamentals, including problem-solving, debugging, and code review. Excellent written communication skills. A bachelor's degree (completed or in progress). Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.

Job Description Job Description Full-time Company Description Mission Critical Group (MCG ) is an end-to-end power solutions and services provider that accelerates time-to-power and delivers scalable, resilient infrastructure for mission critical environments. By integrating engineering, manufacturing, modular deployment, and lifecycle services under one platform, we streamline execution and bring complex projects online faster - without compromising performance. With a robust U.S. manufacturing network, MCG supports data centers, power generation, healthcare, oil & gas, pharmaceuticals, semiconductors, and industrial facilities where uptime is non-negotiable. Mission Critical Group designs, manufactures and provides value-added services for customers requiring critical power solutions. Powering a new electric world for a brighter, more secure future. Job Description The Tester is responsible for performing testing and troubleshooting during the final assembly phase of electrical control and distribution equipment prior to customer delivery. This role ensures product quality, compliance, and optimal functionality by verifying that all assemblies meet engineering specifications, customer requirements, and applicable industry standards. The Testing Technician works closely with production, engineering, and quality teams to identify and resolve issues before shipment. Accountabilities Demonstrate technical skills regarding performing diagnostics, troubleshooting, and testing for reliability on Low, Medium, and Arc-Resistant switchgear and electrical control equipment using tools such as multimeters etc. Verify and document HIPOT tests on copper bus. Ensure final product is consistent with technical schematics, perform basic device programming, and repair all custom-built equipment prior to client shipment as a measure of quality control. Perform Factory Acceptance Tests to show the functionality of Mission Critical Group products and advise of interfacing capabilities with clients existing equipment under the direction of senior team members. Identify functionality or defects through visual and electrical inspections on power distribution equipment and assist senior team members with maintenance or repairs within testing guidelines. Assist senior team members with design verifications and product reliability demonstrations during client witness testing activities under supervision. Perform other duties as assigned. Qualifications Required knowledge/Experience 1-2 years of experience in wiring and assembling electrical control and distribution equipment, preferably in a switchgear or industrial manufacturing environment. Working knowledge of engineering principles, techniques, and procedures as applied to the design and production of electrical equipment. Understanding raw materials, production processes, and manufacturing techniques. Knowledge of design techniques, tools, and principals involved in the production of technical plans, blueprints, drawings, and models. Knowledge of machines and tools, including their designs, uses, repair, and maintenance. Testing tools include MPRT, secondary injection units, digital ratiometers, CT testers, digital multimeters, Fluke meters, AC and DC high-potential testers, high-voltage testers, basic hand tools, and testing jumpers. Proficiency with computer hardware and software, including Microsoft Office Suite. Intermediate written and verbal communication skills, including the ability to read and interpret technical procedures, write reports and correspondence, and present information to managers and customers. Solid mathematical skills, including the ability to calculate figures, proportions, and measurements. Strong attention to quality with the ability to follow procedures carefully and strive for accuracy in all work. Self-motivated with the ability to identify and resolve issues independently while maintaining adherence to guidelines and procedures. Ability to work collaboratively with peers, leadership, and cross-functional teams. Customer-oriented with a proactive approach to supporting internal and external needs. Preferred 1 years of experience troubleshooting electrical and mechanical systems Education High School Diploma or GED required. Values Safety Focus : Prioritize safety in all actions. Actively follow safety protocols, identify potential hazards, and take immediate steps to correct or report unsafe conditions. Model safe behavior for others and contribute to a culture of workplace safety. Have Humanity : Respect the input and ideas of everyone to create the best possible outcome. Be Transparent : Value transparency in all interactions, ensuring honesty and openness with each stakeholder. Drive Innovation : Seek new ways to improve and take on new challenges. Be Resilient : Adapt to the ever-evolving business needs enabled by resourcefulness and agility. Always Reliable : Deliver on your commitments and achieve your goals. Show up to work on time and complete your assigned tasks. Grit: Learn new things, actively seek feedback, and training. Ownership Mindset: Take full responsibility for the quality and efficiency of your work. Proactively identify issues, offer solutions, and follow through. Treat company resources and goals as your own Work Environment and Physical Demands This is a FLSA non-exempt position paid on an hourly basis. Overtime may be required based on production demands, including extended shifts, weekends, or holidays. This role is based on the production floor. The position requires standing for extended periods, working around machinery, and adherence to all safety and compliance standards. Mobility: Ability to move around the manufacturing plant, including walking, standing, and climbing stairs. Manual Dexterity: Occasional use of hands to handle or feel objects, tools, or controls. Lifting: Ability to lift and carry items up to fifty (50) pounds. All lifting should be done following OSHA standards. Visual and Auditory Requirements: Must be able to see and hear well enough to navigate the plant safely and communicate effectively with team members. Additional Information A Note to our Recruitment Partners: We really appreciate the interest, but MCG currently manages hiring through our internal team. We love getting to know our candidates directly! Because of this, we dont accept unsolicited resumes from agencies at this time. If we ever need an extra hand, well be sure to reach out to the community. Thanks for understanding! MCG is an equal opportunity employer prohibiting discrimination based on race, color, creed, religion, sex, marital status, physical or mental disability, and any other protected classes stated by applicable federal and state laws. MCG is committed to providing equal employment opportunities to qualified individuals with disabilities and to act in accordance with regulations and guidance issued by the Equal Employment Opportunity Commission (EEOC). PI17f5-

Job Description About the Role: We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. Advantages of contracting with us: Choose which projects you want to work on and when. Work with state-of-the-art and unreleased AI coding agents. Work on your own schedule, using your own computer, from the comfort of your home. Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects. Responsibilities: Create and work with coding environments, unit tests, and verifiers. Design and solve diverse coding problems used to train AI systems. Write clear, high-quality code and technical explanations. Evaluate model trajectories for accuracy, performance, readability, and best practices. Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions. Provide structured feedback that helps improve the next generation of AI models. Qualifications: Fluency in English (native or bilingual level). Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React. Strong software engineering fundamentals, including problem-solving, debugging, and code review. Excellent written communication skills. A bachelor's degree (completed or in progress). Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.

Job Description About the Role: We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. Advantages of contracting with us: Choose which projects you want to work on and when. Work with state-of-the-art and unreleased AI coding agents. Work on your own schedule, using your own computer, from the comfort of your home. Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects. Responsibilities: Create and work with coding environments, unit tests, and verifiers. Design and solve diverse coding problems used to train AI systems. Write clear, high-quality code and technical explanations. Evaluate model trajectories for accuracy, performance, readability, and best practices. Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions. Provide structured feedback that helps improve the next generation of AI models. Qualifications: Fluency in English (native or bilingual level). Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React. Strong software engineering fundamentals, including problem-solving, debugging, and code review. Excellent written communication skills. A bachelor's degree (completed or in progress). Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.