AI Training Data Contributor & Content Quality Evaluator
Contributed to AI training data projects involving text classification, prompt-response evaluation, and content quality review across health, fitness, education, and general knowledge domains. Tasks included categorizing and annotating text data for accuracy, relevance, and tone; reviewing AI-generated responses for factual correctness using domain expertise in Sports Science and Exercise Physiology; and applying structured annotation guidelines to ensure consistency across large datasets. Leveraged IT proficiency and teaching background to efficiently process high volumes of content while maintaining quality standards aligned with RLHF (Reinforcement Learning from Human Feedback) workflows. Demonstrated strong attention to detail, analytical thinking, and adherence to complex labeling rubrics contributing to improved model performance and data reliability.