AI Data Labeling & Evaluation (Freelance / Independent Practice) - Remote
Reviewed and evaluated AI-generated responses for accuracy, relevance, tone, and clarity against predefined instructions. Labeled text data using intent categories and compared multiple candidate outputs to select the most contextually correct response. Assessed outputs for ambiguities, bias, and factual inconsistencies across English and Swahili datasets. • Verified prompt adherence and instruction-following quality. • Applied linguistic judgment to support consistent labeling decisions. • Conducted context-based comparisons between alternative generations. • Produced guideline-aligned evaluations suitable for AI training and quality scoring.