AI Response Evaluation & Ranking (Mathematical Reasoning)
Worked on evaluating and ranking AI-generated responses in mathematical and algorithmic problem-solving tasks. Responsibilities included comparing multiple solutions, identifying correctness, assessing logical reasoning, and selecting the best response based on clarity, accuracy, and efficiency. Provided detailed justifications explaining ranking decisions, focusing on correctness of mathematical concepts, algorithmic soundness, and comprehensibility for users. Tasks involved identifying subtle errors, edge cases, and differences in approach between competing solutions. Developed strong skills in critical analysis, structured evaluation, and reasoning-based annotation aligned with AI training and model improvement workflows.