Jobe Role

Why This Role Exists

Mercor partners with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. These systems are used across a wide range of everyday and professional scenarios, and their effectiveness depends on how clearly, accurately, and helpfully they respond to real user questions.

This project focuses on evaluating and improving general chat behavior in large language models (LLMs). You will assess model-generated responses across diverse topics, provide high-quality human feedback, and help ensure AI systems communicate in ways that are accurate, well-reasoned, and aligned with human expectations.

What You’ll Do

• 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

Who You Are

• You hold a Bachelor’s degree 

• You are a native speaker or have ILR 5/primary fluency (C2 on the CEFR scale) in Italian

• You have significant experience using large language models (LLMs) and understand how and why people use them

• You have excellent writing skills and can clearly articulate nuanced feedback

• You have strong attention to detail and consistently notice subtle issues others may overlook

• You are adaptable and comfortable moving across topics, domains, and customer requirements

• You have a background or experience in domains requiring structured analytical thinking (e.g., research, policy, analytics, linguistics, engineering)

• You have excellent college-level mathematics skills

Nice-to-Have Specialties

• 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

What Success Looks Like

• You identify factual inaccuracies, reasoning errors, and communication gaps in model responses

• You produce clear, consistent, and reproducible evaluation artifacts

• Your feedback leads to measurable improvements in response quality and user experience

• Mercor customers trust the quality of their AI systems because your evaluations surface issues before public release

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.