AI Annotator/Evaluator (RLHF & LLM Training)
Labelbox
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RLHFI have extensive experience in RLHF labeling, LLM conversation evaluation, fact checking, hallucination detection, and text annotation, working on AI model training and evaluation tasks. My responsibilities include providing feedback on model-generated outputs, ensuring information accuracy, and identifying hallucinated or incorrect responses. I consistently maintain an accuracy rate above 98% and meet international project standards for data quality. • RLHF preference ranking and reward modeling for LLM outputs. • Fact checking and hallucination identification in AI-generated text. • Text annotation and classification tasks to improve language models. • Regular evaluation and quality assurance of labeling projects.
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