Back to Academy
Relevance 8/10Data and MetricsIntermediate5 min read

Confidence Scoring

Confidence scoring indicates how certain an annotator is about a decision.

Why it matters for annotators

Confidence can improve review routing and reduce hidden high-risk errors.

Visual mental model

Label decision -> confidence band -> review route.

Examples (bad vs good)

Scenario: Real annotation scenario involving Confidence Scoring

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.