AI Data Annotation Foundations
The vocabulary, rubrics, and quality habits every lab expects.
Every course free · Funded by grants and partners
A path from entry level labeling through specialist evaluation, free from start to certificate. Begin at foundations, or jump to the level that matches the work you already do. If your career was the one automated, the pathways will tell you which track to take.
6 courses · 151 lessons · about 45 hours of written lessons, practice sets, and worked examples, plus a certification track with a graded capstone.
Not sure where to start? Take the free skills assessment and get a recommendation, or browse open roles first to see what employers are asking for.
Start here if you have never done annotation work or keep failing entry assessments.
The vocabulary, rubrics, and quality habits every lab expects.
Why capable people fail entry tests, and how to stop.
Move from labeling to evaluation and preference work, where the rates step up.
Preference data, output comparison, and safety judgement.
Write the training examples labs actually keep.
Use the career AI disrupted to qualify for the best paid annotation work.
Turn a technical background into better paid annotation work.
Native fluency, applied to model evaluation standards.
Prove the whole skill set in one assessed capstone and get a shareable certificate.
Every course, plus an assessed capstone and a certificate.
Training you work through at your own pace, written by this site and free to everyone because we are a registered non-profit funded by grants and employer partners. Certificates are issued by DataAnnotationJobs.org, not by Scale AI, Surge AI, or any other employer, and no course guarantees a job, an assessment pass, or any level of earnings. See our terms and how we are funded.
Browse by type
Free retraining by previous career