1234 open jobs
Open roles in AI training, model evaluation, RLHF and data labeling for domain experts. Search, filter, then apply directly on Mercor, micro1, Turing, Ethos, Mindrift, DataAnnotation, Alignerr, Handshake AI, Surge AI, xAI, Vetto or Terac.
This role involves categorizing, tagging, and annotating text, images, and audio data to train AI systems. Data Labeling Specialists work independently on a flexible remote contract, following structured guidelines to ensure consistent, high-quality dataset preparation for machine learning models.
This role involves managing and preparing datasets for AI model training by cleaning, organizing, and quality-checking data to ensure accuracy and consistency. The position suits detail-oriented individuals with strong organizational skills who want to contribute to AI development without requiring prior machine learning experience.
This role involves designing advanced data science challenges, writing benchmark solutions, and auditing AI-generated code to improve AI reasoning and reliability. It is designed for experienced data scientists who want flexible, intellectually demanding work training and evaluating machine learning systems.
This role involves designing complex data science challenges and authoring ground-truth solutions to train and evaluate advanced AI models. Data scientists will audit AI-generated code, identify logical reasoning failures, and provide structured feedback to improve model performance across machine learning, statistical inference, and data engineering domains.
This is a backend engineering role focused on building and optimizing server-side infrastructure for AI systems. The position involves designing scalable APIs, data pipelines, and microservices that power machine learning and AI products, working remotely on a flexible hourly contract basis.
This is a contract role for back end developers to design, build, and optimize server-side systems and APIs that power AI infrastructure, including data pipelines and model-serving infrastructure. The position is fully remote and flexible, targeting engineers in Brazil who want to work on scalable, high-performance systems supporting AI training and inference workloads.
A physics expert will design and evaluate problems across multiple physics domains to help train and refine AI models. The role involves creating rigorous physics problems, developing detailed solutions, assessing AI responses for accuracy and reasoning quality, and providing feedback to improve AI systems' physics comprehension.
This role involves creating physics problems and evaluating AI-generated solutions to train and improve AI models' reasoning abilities. You will work remotely for an AI training platform, using your deep physics expertise to design rigorous problem sets and provide feedback on AI responses across undergraduate to graduate-level physics domains.
This remote, part-time contract asks researchers to write and check demanding problems that test how AI systems reason across mathematics, the sciences, and engineering. It is aimed at people with a Master's or PhD who can work independently and asynchronously with AI researchers and domain experts.
This is a remote, hourly contract role in which experienced machine learning and software engineers write step-by-step reasoning logs and training datasets that teach frontier AI models how to solve complex technical problems. The work also involves auditing and refining AI-generated reasoning chains for errors and logical gaps. It is aimed at technical professionals who can work independently and on their own schedule.
This remote contract role asks domain experts with graduate-level training to write hard machine learning evaluation problems that test how advanced AI systems reason. Specialists also judge AI-generated solutions for correctness, creativity and methodological rigor, and they document difficulty and likely failure modes. It suits researchers whose deep, niche expertise goes beyond standard ML knowledge.
This freelance role asks mathematicians to design demanding problems and reference solutions that test how AI systems reason. The work also includes checking model outputs for accuracy and giving structured feedback, with benchmarks spanning undergraduate to PhD-level material. It suits people with advanced mathematical training who can work independently and remotely.
This freelance contract is for PhD-level mathematicians who will evaluate and improve how AI systems handle mathematical reasoning. The work covers writing and reviewing advanced problems, checking AI-generated proofs and calculations, and organizing mathematical content for training datasets. It suits holders of a doctorate in mathematics or a closely related field who can work independently and remotely on their own schedule.
This contract role asks mathematicians to write, solve and check advanced problems that help AI models reason more reliably in mathematics. It suits people with a Master's or PhD in mathematics or a closely related field who can work remotely and set their own schedule.
This is a remote, hourly contract for physics graduates and current Masters students who want to help train and evaluate advanced AI models. The work is writing physics problems, solving them step by step, and judging whether AI-generated answers are scientifically accurate and well reasoned.
This freelance contract role asks physics specialists to design hard problems and write clear step-by-step solutions that help train AI models. The work also includes checking AI-generated answers for scientific accuracy and quality of reasoning. It suits physicists with a master's-level background who can work independently and asynchronously.
This contract role centers on building and tuning high-performance Rust systems that support AI model development, including data pipelines, annotation tooling and evaluation infrastructure. It is aimed at senior engineers with deep Rust expertise who want to work fully remotely alongside research and engineering teams.
This remote contract role asks you to build and refine MuJoCo simulation environments that teach AI agents locomotion, manipulation, and multi-agent coordination. It is aimed at experienced robotics and machine learning practitioners who are comfortable with physics simulation, reinforcement learning, and robot control.
This contract role centers on building and refining physics simulation environments in MuJoCo so that AI agents can learn locomotion and manipulation tasks. It suits experienced robotics and reinforcement learning practitioners who can work independently and asynchronously with research teams.
This contract role centers on building and refining MuJoCo physics simulation environments where AI agents learn locomotion, manipulation, and multi-agent coordination. It suits experienced robotics and machine learning practitioners who work on reinforcement learning, robot control, and simulation debugging, mostly on their own in an asynchronous, remote setting.
FAQ
AI training, model evaluation, RLHF, red teaming, data labeling and expert review roles, in fields from software and data science to medicine, law, finance, languages and science.
They are done online. Some are limited to residents of certain countries: when the platform publishes that restriction, the listing shows it.
Usually not. Most roles ask for professional experience in your own field. Each listing states the experience the platform requires.
By the hour or by the task, by the platform that hires you. We show the pay only when the platform publishes it. It is not a guarantee of income or hours.
Apply now opens the official posting on Mercor, micro1, Turing, Ethos, Mindrift, DataAnnotation, Alignerr, Handshake AI, Surge AI, xAI, Vetto or Terac, where you complete the application. You need no account here. See how it works.
