Freelance AI Data Annotation & Evaluation Specialist (Remote, 2024–Present)
Evaluated AI-generated outputs against project guidelines and quality standards using structured review processes. Identified inaccuracies, inconsistencies, and edge cases by applying predefined criteria and documenting nuanced observations in clear English. Produced rubric-aligned, written feedback to support iterative model improvement and maintain consistency across high-volume reviews. • Applied rubric-based evaluation and quality benchmarks to assess responses. • Performed structured observation, QA checks, and discrepancy detection. • Authored concise, objective, actionable written evaluation reports. • Collaborated with teams by incorporating feedback and refining scoring/evaluation approaches.