Annotation, evaluation, and review work that fits around your schedule — with real training, real feedback, and a community that knows what good labeling actually looks like.
Transparent per-task and hourly rates, paid weekly, with bonus tiers for high-accuracy reviewers. No surprises.
Pick up shifts or async tasks whenever you have time — no fixed schedule, no minimum hours required.
Every task type comes with a short certification so you know exactly what "good" looks like before you start.
Accuracy scores after every batch — you always know where you stand and how to move up tiers.
High-accuracy contributors unlock specialized queues that pay more per task and feature premium project types.
Your annotations train models used in healthcare, robotics, and language AI. This is consequential work.
Most contributors complete onboarding in under 48 hours and receive their first payment within the same week.
Pick up shifts or async tasks that match your certifications and tier level.
Label, rank, or annotate using the in-platform tools and rubric guidelines.
A second contributor or automated check verifies your accuracy score.
Verified work is paid weekly and counted toward your accuracy tier and bonuses.
Label images, audio clips, text spans, or video frames using structured guidelines. The backbone of every training dataset.
Rank or compare AI-generated responses on helpfulness, safety, and quality. Directly shapes how models behave.
Write critiques, rewrites, or corrections for model outputs across text, code, and reasoning tasks.
Audit other contributors' work against rubric standards to catch errors before data ships to training pipelines.
Label spatial and motion data for manipulation and perception tasks — specialized queues for certified contributors.
Medical, legal, coding, and scientific tasks — higher pay for contributors who bring verified domain knowledge.
Track your accuracy score, open task queue, weekly earnings, and tier progress — all in a single dashboard designed for contributors, not procurement teams.
DASHBOARD — PREVIEW
"I started with basic annotation and moved to RLHF evaluation within a month. The feedback system is the best I've seen — you actually learn from every batch."
"The robotics queue is genuinely interesting work. As a computer vision grad student it keeps me sharp and pays well enough to cover rent while I finish my thesis."
"Most platforms treat annotators like background workers. TrainAgentAI actually explains the rubric and tells you why a task matters. Big difference in motivation."
Write to our contributor team and tell us your background. We'll match you to the task types that fit.