Bilingual RLHF Content Evaluator (Metis Project)
Data Annotation TechTextText GenerationRLHF
Conducting multi-turn conversations in Mandarin and English to evaluate and refine AI personalization. Tasks include ranking model responses based on accuracy and cultural relevance, and providing detailed feedback to improve linguistic precision.
Conducting multi-turn conversations in Mandarin and English to evaluate and refine AI personalization. Tasks include ranking model responses based on accuracy and cultural relevance, and providing detailed feedback to improve linguistic precision.
2025 - 2026