AI Expert Contributor
Scope: Worked on AI training projects focused on improving model quality through data labeling, response evaluation, rewriting, and quality review. The work involved following detailed guidelines to help train models to give more accurate, clear, and useful answers. Data labeling tasks:Reviewed and labeled model outputs for accuracy, relevance, clarity, and instruction-following. Ranked multiple responses, rewrote weak answers, corrected errors, flagged unsafe or low-quality content, and performed quality checks to make sure annotations were consistent.