Data Annotator Business Analyst (LLM Trainer) – Turing (Remote)
Annotated and evaluated LLM outputs across dialogue, reasoning, classification, and content generation tasks using structured rubrics. Scored responses on relevance, coherence, factuality, and safety to ensure quality and alignment with desired behavior. Compared multiple model outputs and delivered structured feedback to reduce recurring errors and improve model performance. • LLM output annotation and evaluation using detailed rubrics • Relevance/coherence/factuality/safety scoring and consistency checks • Prompt and response review with comparison of alternative outputs • Structured feedback generation to guide model behavior improvements