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 contract role centers on building Python systems that power data pipelines, evaluation harnesses and annotation tooling for AI model development. It suits senior Python engineers who can work remotely on part-time hourly engagements alongside research and engineering teams.
This contract role involves building and tuning Python systems that feed data pipelines, annotation tools and model evaluation workflows for AI teams. It suits senior engineers who can work full-stack and backend, with a strong focus on reliability and clean, well-tested code.
This contract role asks quantitative professionals to review and improve the mathematical and statistical outputs that AI models produce, especially financial models, risk estimates and forecasts. The work is remote, hourly and self-scheduled, and suits people with a solid background in quantitative finance, statistics or applied mathematics who notice when a result does not hold up.
This remote, hourly contract role involves reviewing the financial models and forecasts that AI systems generate, testing their assumptions and checking their logic. It is aimed at professionals with a solid background in quantitative finance, statistics or data analysis who can work independently on task-based assignments.
This remote contract role involves checking the accuracy of statements produced by AI systems by researching them against reliable sources. The work spans many subjects, from science and history to current events, and suits people with strong research habits and a careful, skeptical approach. No specific academic background or prior AI experience is required.
This contract role asks mathematicians to turn informal proofs into machine-checkable Lean 4 code, helping AI systems learn to reason about formal mathematics. It suits researchers with strong proof-writing backgrounds who enjoy structuring arguments for proof assistants and examining where automated provers fail.
This contract role asks active retail investors and traders to share their hands-on market experience with an AI research team. The work covers reviewing and labeling trading content, and writing explanations of how everyday investors think about risk and trade execution. It suits people who regularly trade stocks, ETFs, crypto, or derivatives and can explain their reasoning clearly in writing.
This role asks experienced revenue and sales operations professionals to design realistic problems that test AI agents on reconciling bookings, CRM, order, and communication data into one defensible answer. The work covers writing task prompts, scoring rubrics, and task environments, then solving and calibrating each task against AI models. It suits practitioners who know enterprise sales systems and can define checkable standards for a correct answer.
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.
This contract role centers on building MuJoCo physics simulations where AI agents practice locomotion, manipulation, and multi-agent tasks. It suits experienced robotics and machine learning practitioners who can design reinforcement learning setups, tune reward functions, and debug contact dynamics. The work is fully remote, asynchronous, and paced by milestones.
This contract role centers on building and refining MuJoCo physics simulations where reinforcement learning agents practice locomotion, manipulation, and coordination tasks. It suits experienced robotics and machine learning practitioners who can design reward functions, debug contact dynamics, and document their work independently in a remote, asynchronous setting.
This contract role centers on building MuJoCo physics simulation environments and training reinforcement learning agents to carry out robotic tasks such as locomotion and manipulation. It suits experienced robotics and machine learning practitioners who are comfortable with physics simulation, policy training and robot control, and who can work independently on milestone-based projects.
This contract role asks a robotics and machine learning specialist to build and refine MuJoCo simulation environments that train AI agents on physical tasks such as locomotion and manipulation. It suits experienced practitioners in physics simulation, reinforcement learning and robot control who can work independently and document their results clearly.
This remote contract role centers on building physics simulation environments in MuJoCo that teach AI agents to move and manipulate objects. It suits experienced practitioners who combine robot control, reinforcement learning, and physics simulation expertise.
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 can combine reinforcement learning, robot control, and simulation debugging. Work is remote, asynchronous, and organized around milestones.
This remote contract role centers on building and refining MuJoCo physics simulation environments where AI agents learn locomotion, manipulation, and coordination tasks. It is aimed at experienced robotics and machine learning practitioners who are comfortable with reinforcement learning, robot control, and debugging contact dynamics.
This contract role asks specialists to design, build and refine MuJoCo physics simulation environments that train AI agents on locomotion, manipulation and multi-agent tasks. It suits experienced practitioners in reinforcement learning and robot control who can also document their results clearly. The work is remote with flexible weekly hours.
This freelance role centers on building high-fidelity physics simulations of robots, including accurate robot models, simulation environments, and pipelines that help robots learn to walk, grasp, and navigate. It suits engineers experienced with robotics simulators such as MuJoCo, Isaac Sim, or Gazebo who want to narrow the gap between virtual testing and real-world robot behavior. The work is hourly and remote, with written collaboration conducted in English.
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.
