AI Data Annotator & Quality Reviewer — Outlier AI
Served as an AI data annotator and quality reviewer for AI evaluation projects, assessing model outputs against structured guidelines. Evaluated generated text for factual accuracy, reasoning quality, instruction adherence, and overall usefulness while also detecting response issues affecting performance. Conducted quality assurance reviews to ensure consistent scoring and guideline compliance. • Applied annotation guidelines and scoring rubrics for uniform evaluations • Identified hallucinations, logical inconsistencies, and quality degradation • Reviewed outputs for factual accuracy, reasoning, and instruction following • Supported model improvement through documented quality findings