Associate, CloudFactory (AI data annotation and model evaluation)
Worked on AI data annotation and evaluation projects, focusing on improving model outputs through systematic review. Conducted prompt-response evaluation and preference ranking to select higher-quality responses. Performed dataset validation and QA checks to ensure labeled outputs were accurate, relevant, and aligned with training needs. • Used human-in-the-loop (HITL) processes to support iterative training • Collaborated with distributed teams under strict deadlines • Corrected and re-evaluated AI outputs based on evaluation results • Maintained quality standards across annotation and evaluation tasks