RLHF Korean Annotator (LLM Training & Evaluation)
As an RLHF Korean Annotator at Mercor, I specialize in evaluating and refining AI-generated Korean–English responses using RLHF methodologies. My core focus includes assessing factual accuracy, linguistic quality, and cultural nuance using strict guidelines and rubrics. I consistently deliver high-quality evaluations that improve large language model (LLM) outputs. • Reviewed and ranked bilingual AI-generated text for accuracy, fluency, and contextual appropriateness • Identified translation errors and unnatural phrasing in model outputs • Followed detailed RLHF guidelines and quality standards • Collaborated to enhance language model alignment and reliability