AI Prompt Quality Evaluator & Feedback Analyst

AI Trainer Jobs is seeking a detail-oriented evaluator to score prompt-response pairs from large language models. You will use structured rubrics to rate factual accuracy, instruction-following, and coherence across batches, typically 20–50 pairs per session. You will flag edge cases, document subtle failure modes, and contribute to fine-tuning data. Sessions are asynchronous with calibration meetings every two weeks, offering potential tracks in legal, medical, or coding domains.