Data Annotator/QA Expert
As a Data Annotator and QA Expert at Mindrift, I evaluated AI-generated responses for accuracy, clarity, and logical consistency. My work included rubric-based feedback to enhance training data quality and model reliability. I ensured prompt alignment and conducted quality control on large volumes of LLM outputs. • Assessed reasoning quality, factual accuracy, and instruction adherence in AI model outputs. • Identified hallucinations, reasoning gaps, and bias in generated content. • Delivered structured, high-consistency feedback for model improvement. • Used proprietary tools to review and annotate diverse text datasets.