AI-Assisted Content Structuring & Annotation (Education)
AI Output Review & Quality Control Evaluated AI-generated content for correctness, relevance, and bias before use in teaching and research. Provided corrections and improvements, effectively acting as a human-in-the-loop reviewer for AI outputs. Applied logical reasoning and domain knowledge to ensure high-quality final outputs. AI-Assisted Content Structuring & Annotation (Education) Applied consistent labeling logic to categorize questions, answers, and instructional materials—similar to text classification and annotation workflows.