AI training data evaluation and quality assurance
Worked on AI training data projects involving text-based evaluation and human feedback to improve the quality of AI-generated responses. Responsibilities included evaluating and rating model outputs, performing preference ranking between responses, and categorizing errors based on detailed project guidelines. Provided clear, structured feedback to help identify gaps, inconsistencies, and quality issues in AI outputs, contributing to improved model performance through high-quality human-in-the-loop evaluation.