Job Overview
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Job Description
About Mercor
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.
Position: Mathematics AI Evaluator
This role is available as full-time or part-time contract work, offering a compensation of $73/hour. We are looking for candidates located in the USA, UK, Canada, or the EU.
Role Responsibilities
- Write and refine prompts to guide model behavior in mathematical contexts.
- Evaluate LLM-generated responses to mathematics-related queries for correctness, rigor, and logical coherence.
- Verify mathematical claims, derivations, and proofs using domain expertise.
- Conduct fact-checking using authoritative public sources and domain knowledge.
- Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies.
- Ensure model responses align with expected conversational behavior and system guidelines.
Qualifications
Must-Have
- PhD in Mathematics or a closely related field.
- Demonstrated experience in Probability & Statistics.
- Significant experience using large language models (LLMs).
- Excellent writing skills for explaining complex mathematical concepts.
- Strong attention to detail with the ability to notice subtle issues.
- Experience reviewing or editing technical or academic writing.
Preferred
- Prior experience with RLHF, model evaluation, or data annotation work.
- Experience teaching, mentoring, or explaining mathematical concepts to non-expert audiences.
- Familiarity with evaluation rubrics, benchmarks, or structured review frameworks.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Key skills/competency
- Mathematical Reasoning
- Large Language Models (LLMs)
- Prompt Engineering
- Content Evaluation
- Proof Verification
- Fact-Checking
- Technical Writing
- Probability & Statistics
- Data Annotation
- Academic Review
How to Get Hired at Mercor
- Research Mercor's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on their AI research initiatives.
- Tailor your resume: Highlight your PhD in Mathematics, experience with LLMs, and strong writing skills. Use keywords like "mathematical evaluation," "prompt engineering," and "AI model assessment."
- Excel in the AI interview: Prepare to discuss your expertise in Probability & Statistics and your ability to explain complex mathematical concepts clearly. Practice articulating your experience with AI evaluation or data annotation.
- Showcase your mathematical rigor: Be ready to demonstrate your ability to verify mathematical claims and proofs, emphasizing your attention to detail and logical coherence.
- Highlight communication skills: Emphasize your experience in technical or academic writing and your capacity to annotate and provide constructive feedback on complex AI-generated content.
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