AI Data Annotator/Content Evaluator/QA Expert
As an AI Data Annotator and Content Evaluator at Mindrift, Crowdgen by Appen, and Turing, I evaluated and refined AI-generated responses to improve large language model training. My work involved summarizing complex information, reviewing content for factual and linguistic accuracy, and breaking down tasks into structured components. I identified inconsistencies, provided structured feedback, and maintained quality using strict guidelines. • Evaluated output relevance, clarity, coherence, and tone • Summarized long-form content into concise, structured outputs • Verified factual correctness through online research • Adhered to high-volume workflows using established annotation frameworks