AI Training & Data Annotation Specialist, CrowGen (Remote)
Evaluated and ranked large volumes of LLM outputs for correctness and alignment. Assessed factual accuracy, reasoning depth, and policy compliance while applying consistent quality criteria. Maintained high annotation-grade accuracy across ongoing assessment tasks.•Reviewed 1,500+ LLM responses weekly using predefined rubrics.•Applied quality scoring to support downstream model improvement.•Monitored and sustained overall annotation accuracy above 98%.•Ensured labeled outputs met compliance and safety requirements.