What is reviewer?

A reviewer is an experienced worker who checks other people's submitted tasks, then approves them, corrects them or sends them back with feedback. Reviewing is usually the first step up from first-pass work on an AI training platform.

What the work looks like

You open a submitted task, compare it with the guidelines and rubric, and decide whether it passes. When it does not, you either fix it or write feedback specific enough for the author to learn from. Reviewers also flag unclear guidelines and patterns of error to the project team.

How people become reviewers

Platforms usually promote workers with a high quality score and a solid volume of accepted tasks. On expert projects, reviewers are often senior specialists hired directly for that role.

Pay and expectations

Review roles generally pay more than first-pass work, but are judged strictly: approving bad work defeats the purpose, and so does rejecting good work over personal preference. Clear, kind feedback matters, because it decides how fast the rest of the team improves.

Example

A reviewer sees that several trainers rate verbose answers too highly. Instead of only rejecting the tasks, they write a short note with two examples, and the team's error rate drops the following week.