AI Response Quality Evaluation - Surge AI
Evaluated a dataset of AI-generated responses across multiple domains including factual knowledge, scientific processes, and pop culture. Tasks involved assessing each response for factual accuracy, identifying specific inaccuracies against verifiable ground truth, and applying consistent binary classification labels (Accurate / Contains Inaccuracy). Reviewed rater decisions against customer QA feedback, identified false positive labelings, and produced a corrective analysis — including a disputed case (Beatles/Lennon solo discography) where the customer's own QA had missed a genuine error.