AI Data Annotation & Evaluation (Independent Practice) — Remote AI training/data annotation specialist
AI Data Annotation & Evaluation experience focused on ranking and selecting the most accurate AI responses. Work includes checking responses for accuracy, relevance, clarity, factual errors, and hallucinations while applying strict annotation guidelines for consistency. Output decisions are supported with structured justifications for model comparison and quality improvement. • Evaluated AI-generated responses for accuracy, relevance, and clarity • Ranked competing outputs and selected the best response per prompt • Detected inconsistencies, factual errors, and hallucinations • Refined prompts through iterative testing to improve response quality