AI Trainer / Data Annotator & Evaluator, General Business Ideas (Remote)
Performed RLHF-style evaluation and rating of AI-generated content and model outputs for usefulness, coherence, helpfulness, and policy compliance. Applied structured quality rubrics to check accuracy, factual correctness, tone, relevance, and misinformation risk across crypto and DeFi topics. • Evaluated AI-generated posts and responses against quality criteria • Labeled and assessed community discussions and user-generated text • Flagged harmful, misleading, or low-quality outputs for moderation workflows • Produced written rationales and reports to support editorial and dataset improvements