Remote AI training and data labeling jobs

Build reinforcement learning environments that test whether an AI model can fix bugs, add features, refactor code and tune performance in real repositories, then write the golden reference solution it is graded against. Public open-source contributions are the requirement, not AI experience. Remote contractor work, roughly 15 hours a week.

Review footage of robotic arms performing tasks and tag what happens against detailed grading guidelines, so robotics models learn from accurate labels. Remote contractor work paid by the hour; prior video annotation or training-data experience is strongly preferred.

Solve advanced computational fluid dynamics problems (meshing, turbulence modelling, multiphase flow, heat transfer, solver setup), then judge whether AI-generated answers are engineering-sound and write up what is wrong when they are not. Three years of validated simulation work is the bar, not AI experience. Remote contractor engagement.

Build reinforcement learning environments that test whether an AI agent can fix bugs, implement features, refactor and optimise code while discovering and reasoning over information from real MCP servers. You design the reproducible environment, the deterministic verification and the golden reference solution. Remote contractor work, roughly 15 hours a week, hours of your choosing.

Review and draft complex transactional documents (M&A, private equity and capital markets agreements) and give the structured commentary that teaches a model how a BigLaw associate reasons, including on data privacy and cross-border deals. Asks for a US JD, active bar admission and AmLaw 100 experience. Remote contractor work at the widest pay band on this board.