AI Data Annotation Contributor (Remote), Data Annotation Platform
Contributed to AI data annotation tasks by evaluating AI-generated responses for quality, instruction adherence, factual accuracy, and reasoning soundness. Applied comparative analysis across multiple model outputs to optimize response tone, correctness, and overall utility for downstream training. Used domain expertise in healthcare and scientific terminology to reduce hallucinations and improve label reliability. • Evaluated and annotated responses according to project guidelines • Assessed content quality, reasoning, and instruction following • Performed comparative response analysis for accuracy and tone • Maintained consistency and quality across large-scale datasets