Evaluation & Rating of LLM Outputs for Model Alignment
Performed structured evaluations of AI-generated responses to assess accuracy, clarity, relevance, tone, and alignment with task instructions. Tasks included reviewing prompt-response pairs, ranking outputs from multiple models, and identifying edge cases or hallucinations. Followed detailed rubrics to provide consistent, high-quality feedback that supported fine-tuning and reinforcement learning workflows. Worked across 10,000+ text instances with a focus on balancing speed and accuracy. Quality was maintained through inter-rater consistency checks and performance reviews. Domain expertise in finance and compliance enhanced ability to assess technical and high-context tasks with precision.