Back to Academy
Relevance 8/10Prompting and EvaluationIntermediate6 min read
Prompt Engineering
Prompt engineering designs instructions to elicit reliable model behavior.
Why it matters for annotators
Many annotation projects evaluate prompt quality and response compliance.
Visual mental model
Task objective -> prompt design -> output evaluation.
Examples (bad vs good)
Scenario: Real annotation scenario involving Prompt Engineering
Bad: Labeling quickly without applying project rubric.
Good: Applying rubric criteria, documenting rationale, and escalating uncertainty.
Common mistakes
- Skipping guideline details for edge cases.
- Applying inconsistent criteria across similar samples.
- Avoiding escalation even when uncertain.
Submission checklist
- Read the latest guideline update before each batch.
- Apply rubric dimensions explicitly in each decision.
- Escalate ambiguous items with concise rationale.