Text Classification & AI Response Evaluation Project
Completed structured text annotation tasks for AI model training. Responsibilities included categorizing text data, rating AI-generated responses based on quality and factual accuracy, identifying policy violations, and flagging inconsistencies. Followed strict annotation guidelines to ensure labeling consistency and high inter-annotator agreement. Contributed to reinforcement learning from human feedback (RLHF) workflows by ranking multiple model outputs and providing structured feedback. Maintained a 98% task approval rate across 500+ completed assignments.