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AI Micro-Internship · ~180 min · builder

Build an eval: test 2 AI models like a professional

AI evaluation is one of the fastest-growing jobs in tech: companies need people who can measure whether AI is actually good. Build a 20-question eval set in a domain you know, run it against 2 models, and report the results with real numbers.

Steps

  1. 01Pick a domain you genuinely know (your school syllabus, cricket stats, local geography, a hobby).
  2. 02Write 20 questions WITH verified correct answers — mix easy, hard, and trick questions. Verify answers against real sources, not AI.
  3. 03Run all 20 on two different models, same wording. Record every answer verbatim.
  4. 04Score them (correct / partially correct / wrong), compute accuracy per model, and report where each one breaks.

Tools: Any 2 AI models (e.g. ChatGPT + Gemini), A spreadsheet for scoring

Your submission

Submit your eval set as CSV (question, expected answer, source), the results CSV (model answers + scores), and your report. Expected answers must be independently verified — an eval graded against hallucinations is worthless.