Data Annotator

About This Role

Evaluate and annotate responses generated by Large Language Models (LLMs) to ensure their effectiveness, accuracy, and alignment with conversational behavior and system guidelines.

Responsibilities

• Evaluate LLM-generated responses for effectiveness in answering user queries
• Conduct fact-checking using trusted public sources and external tools
• Generate high-quality human evaluation data by annotating response strengths, areas for improvement, and factual inaccuracies
• Assess reasoning quality, clarity, tone, and completeness of responses
• Ensure model responses align with expected conversational behavior and system guidelines
• Apply consistent annotations by following clear taxonomies, benchmarks, and detailed evaluation guidelines

Requirements

• Bachelor’s degree
• Native speaker or ILR 5/primary fluency (C2 on the CEFR scale) in Chinese (Mandarin)
• Significant experience using large language models (LLMs)
• Excellent writing skills
• Strong attention to detail
• Adaptable across topics, domains, and customer requirements
• Background in structured analytical thinking
• Excellent college-level mathematics skills

Qualifications

• Bachelor's degree

Nice to Have

• Experience with RLHF, model evaluation, or data annotation work
• Experience writing or editing high-quality written content
• Experience comparing multiple outputs and making fine-grained qualitative judgments
• Familiarity with evaluation rubrics, benchmarks, or quality scoring systems