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 remote, hourly contract role asks mathematicians with a Master's or PhD to write, solve and review advanced problems, and to evaluate the mathematical reasoning produced by AI models. It suits researchers who are strong in algebra, calculus, statistics or discrete mathematics and who can work independently on their own schedule.
The job consists of creating, solving and reviewing advanced mathematical problems so that AI models can reason more accurately. It is aimed at people with a Master's or PhD in mathematics or a closely related field who can work remotely and set their own schedule. No prior AI experience is required, but strong mathematical depth and rigor are essential.
This contract role asks population health experts to review and improve AI systems that interpret public health data. The work involves checking AI-generated trends, dashboards, and recommendations against evidence-based standards. It suits professionals with a background in health data and analytics who can work independently and remotely.
This contract role centers on building the Python infrastructure that AI labs use to prepare and assess training data, including data pipelines, annotation tools and evaluation systems. It is aimed at senior engineers with deep production Python experience who can design distributed systems and lead architecture decisions.
This contract role asks Python developers to assess code produced by AI systems for correctness, efficiency and good practice, and to solve algorithmic problems by writing solutions from scratch. It suits senior developers who can explain code logic clearly and work independently on a flexible, remote schedule.
This remote contract role asks senior Python developers to judge code written by AI systems for correctness, efficiency and professional standards. The work also includes solving algorithmic problems and explaining the reasoning clearly so that AI models learn to write better Python. It suits experienced engineers who can work independently on flexible hours.
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 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.
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.
