[Hiring] Bilingual Language Model Evaluator @Mercor

Role Description

• Conduct fact-checking using trusted public sources and external tools.
• Generate high-quality human evaluation data by identifying 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.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

• Must-Have:
• Bachelor's degree.
• Native speaker in Urdu.
• Significant experience using large language models (LLMs).
• Excellent writing skills in English.
• Strong attention to detail.
• Background or experience in domains requiring structured analytical thinking.
• 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.

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.