Role Description

Evaluate LLM-generated responses on their ability to effectively answer 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.

Qualifications

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

Company Description

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.