Computer Science AI Evaluator / Data Annotation Specialist (Freelance, project-based)
TextEvaluated AI-generated responses for correctness, relevance, reasoning quality, consistency, and instruction-following. Applied structured scoring criteria to assess multi-step tasks, model outputs, and comparison tasks while identifying weak assumptions, missing constraints, unclear logic, and quality issues. Validated outputs against detailed project guidelines to support AI training workflows and dataset reliability. • Conducted pairwise comparisons to determine which AI output best met project requirements. • Performed data annotation and labeling across text, image, audio, and video datasets. • Reported inconsistencies and quality problems to improve dataset and task performance. • Maintained high accuracy and productivity while working remotely and independently.