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AI Data / AI Evaluation / AI Trainer

Label, rate and write data that trains and tests AI systems — carefully and consistently.

Preview · Sample data — Demo track. Approximate time ~16h. Completing this can make you eligible to be considered for related roles. It does not guarantee an interview, a match or a placement.

Roles this prepares you for

AI Data Annotator
AI Output Evaluator
AI Trainer (writing)

Before you start

  • Professional Foundations
  • Digital Work Foundations
  • Strong written English or the task language

Learning, in order

1 of 4 completed. DOI-built courses open here; provider courses open on the provider's own site.

  1. 1. Professional Foundations (DOI)

    DOI Practical Lab · DOI-native · ~5h

    Open

  2. 2. Digital Work Foundations (DOI)

    DOI Practical Lab · DOI-native · ~4h

    Open

  3. 3. Working with AI Assistants at Work

    OpenAI Academy · External provider — no partnership · ~2h · Completed (learning recorded, not proof of skill)

    Browse provider catalog

    Opens on OpenAI Academy · exact course not yet chosen

  4. 4. Data Fundamentals

    IBM SkillsBuild · External provider — no partnership · ~10h

    Browse provider catalog

    Opens on IBM SkillsBuild · exact course not yet chosen

Practical work

  • Rate 20 demo AI answers against a written rubric
  • Write guideline-compliant examples

Skills developed

AI-assisted workflows
Data literacy
Attention to guidelines

Evidence you will hold

  • Rating sheet with justifications
  • Consistency check against a reviewer

To become placement-ready

What usually still stands between finishing the learning and being introduced.

  • DOI Verified Assessment on rubric consistency
  • DOI interview
Prepare for assessmentDOI interview