AI Text Labeling & LLM Response Evaluation Project
Worked on an AI training project focused on improving large language model (LLM) performance through high-quality text labeling and evaluation. Responsibilities included classifying text data, evaluating AI-generated responses for accuracy, relevance, and tone, and performing prompt-response reviews following detailed project guidelines. The project required strict adherence to quality standards, consistency checks, and detailed validation to ensure reliable training data. Tasks involved reviewing multiple text samples daily, applying clear labeling logic, and maintaining high accuracy levels to support model improvement.