AI Training Data Evaluator – Math & Reasoning
Contributed to AI training and data labeling projects involving the evaluation and improvement of AI-generated responses through human feedback. My work focused on reviewing outputs for factual accuracy, logical consistency, instruction-following, and overall response quality, particularly in mathematics, reasoning, and structured problem-solving tasks. I assessed whether responses were correct, well-structured, and aligned with task requirements, while identifying reasoning flaws, unsupported assumptions, and incomplete explanations. This work required strong analytical thinking, attention to detail, and the ability to apply evaluation criteria consistently. My engineering background helped me perform effectively in technical and reasoning-heavy tasks, making meaningful contributions to high-quality AI training.