AI Data Generalist at DataAnnotation.tech (Remote)
Evaluated AI-generated responses across writing, research, finance, business, and general-knowledge prompts by checking accuracy, reasoning quality, clarity, and instruction adherence. Completed multi-domain annotation and rubric-based quality review tasks using source review and written feedback to improve model outputs. Worked in a remote, task-based environment balancing speed, precision, ambiguity handling, and consistent communication quality. • Assessed factual correctness and reasoning quality of model outputs • Verified instruction-following and clarity against prompt requirements • Produced detailed written feedback as part of quality improvement • Performed rubric-based evaluation and source-grounded review