AI Content Quality Reviewer (Alignerr)
Reviewed and evaluated over 2,000 contributor assessments monthly to ensure adherence to project guidelines for AI-generated content. Conducted in-depth quality audits and provided structured feedback to improve model performance and evaluation consistency. Identified factual inaccuracies and hallucinations, delivering actionable performance feedback to contributors. • Verified consistent application of evaluation criteria for text-based AI content • Ensured rubric usage matched project standards and justified decisions • Led calibration and quality improvement sessions for assessment teams • Reduced evaluation inconsistencies through detailed audits and structured feedback