AI Model Evaluator and Data Annotation Specialist
As part of my research and academic evaluation work, I regularly evaluate, annotate, and provide feedback on technical and academic text to support AI model refinement. Tasks involve analyzing, scoring, and commenting on clarity, logical consistency, factual accuracy, and structural integrity of written content. My critical feedback helps improve natural language processing models by supplying high-quality labeled data. • Evaluated human-generated and AI-assisted textual data for accuracy and structural consistency. • Scored and ranked documents based on clarity and logical soundness. • Annotated text samples for underlying themes and factual correctness. • Provided precise, actionable feedback to inform AI model training.