Financial Accountant
Contributed to an AI training project focused on improving large language model performance through text annotation and response evaluation. The project involved reviewing AI‑generated outputs, labeling responses based on accuracy, relevance, tone, and adherence to provided guidelines. I identified edge cases, flagged inconsistent outputs, and applied detailed instructions consistently across tasks to ensure high‑quality training data. Emphasis was placed on precision, rule interpretation, and quality control to support supervised learning and model refinement.