AI Text Data Review & Categorization.
Worked on reviewing, categorizing, and validating text data used for AI model improvement and content quality evaluation. Tasks included identifying inaccurate or low-quality responses, classifying text into relevant categories, checking grammar and contextual relevance, and ensuring consistency across datasets. Followed detailed annotation guidelines and maintained high accuracy while handling repetitive quality assurance tasks. The project also involved testing AI-generated responses, refining prompts, and evaluating outputs for clarity, relevance, and correctness. Strong attention to detail, consistency, and analytical thinking were required to ensure reliable training data quality.