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Path 02

AI Annotation, Training & Evaluation

Label data, rank and fact-check model responses, and apply your subject expertise to train and evaluate AI systems.

What you'll learn

8 topics. Each may become a full course, a module or part of a larger pathway.

  1. 01AI Data Annotation and Labelling for Paid Projects
  2. 02AI Response Evaluation, Ranking and Quality Review
  3. 03AI Fact-Checking and Source Verification
  4. 04AI Evaluation Rubric and Test-Case Design
  5. 05STEM Subject-Matter AI Training and Evaluation
  6. 06Code Annotation and AI-Generated Code Evaluation
  7. 07Language, Speech and Localisation Evaluation
  8. 08Training Dataset Quality Assurance