Senior reviewers who keep AI data projects consistent.
Senior reviewers who hold the bar on a project as it grows, so quality at task ten thousand matches quality at task ten.
What these contributors do.
Checking tasks and labels for correctness, clarity and consistency with the guidelines.
Settling disagreements between contributors with a written reason others can follow.
Finding the gaps and contradictions in project guidelines before they turn into bad data.
Specific, written feedback that raises a team's bar instead of only rejecting work.
Evaluated on the work itself.
Reviewers audit a batch of real tasks with planted errors and write feedback for the authors. We look at what they catch, what they miss, and how useful their feedback is.
Who we are looking for.
Experienced engineers, researchers and leads who have reviewed others' work and enjoy raising the bar of a team. Joining is free, and we never charge contributors a fee.
Need Technical Review experts?
Tell us what you need in a line or two. A person on our team reads every request and replies by email.
Other areas: Coding & Software Engineering · RL Environments · Agent Evaluation