Data Annotator / Analyst / Evaluator (AI evaluation practice and structured annotation-style reviews)
Performed AI response evaluation for 2,370+ generated answers, including summarization, sentiment classification, instruction-following checks, hallucination detection, and relevance scoring. Conducted structured content-review workflows with repeated practice to improve consistency and accuracy across long review sessions. Focused on careful, detail-oriented judgment to validate outputs against expected behaviors and reduce errors. • Reviewed AI prompts and model responses for task compliance and correctness • Rated relevance and quality using learned rubric-style review methods • Checked for hallucinations and unsupported claims • Documented outcomes to support iterative improvement of evaluation criteria