Mathematics AI Evaluator
Mercor
Job Overview
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Job Description
About The Job
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.
This is a Mathematics AI Evaluator position, offering full-time or part-time contract work.
Role Responsibilities for a Mathematics AI Evaluator
- 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
The application process takes approximately 20–30 minutes to complete:
- Upload resume
- AI interview based on your resume
- Submit form
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
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Key skills/competency
- Mathematics
- AI Evaluation
- Large Language Models (LLMs)
- Prompt Engineering
- Probability & Statistics
- Technical Writing
- Fact-Checking
- Data Annotation
- Proof Verification
- Critical Thinking
How to Get Hired at Mercor
- Research Mercor's mission: Study their focus on connecting talent with AI research labs, their investors, and their impact in the AI space.
- Tailor your resume: Highlight your PhD in Mathematics, experience with LLMs, and any background in probability, statistics, or technical writing, specifically for an AI evaluator role.
- Prepare for the AI interview: Practice articulating your expertise in mathematics and your experience with LLM evaluation, focusing on clarity and precision.
- Showcase critical evaluation skills: Be ready to discuss your ability to verify mathematical claims, spot inaccuracies, and provide constructive feedback on model responses.
- Emphasize attention to detail: Demonstrate your meticulous approach to reviewing and annotating complex mathematical content and adherence to guidelines.
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