AI QA reviewer badges
GoHireHumans should qualify reviewers by task type, not treat every worker as interchangeable. These badges define the first reviewer-quality system.
Fact-check reviewer
Checks claims against sources and flags hallucinations, weak evidence, and misleading statements.
Citation verifier
Checks whether citations exist, are relevant, and actually support the claim.
Support reply QA
Reviews customer-facing AI replies for policy fit, tone, correctness, and escalation risk.
RAG groundedness reviewer
Compares AI answers with retrieved docs and identifies unsupported statements.
Product listing QA
Checks ecommerce listings for accuracy, completeness, risky claims, and clarity.
Agent audit reviewer
Reviews AI agent output and available trace/context for action appropriateness.
Calibration standards
- Reviewer completes sample tasks before receiving badge.
- Reports must include human-written rationale and evidence.
- Repeated low-effort or AI-only reviews lose eligibility.
- Quality should be tracked by category, not only global rating.