Mathematics AI Evaluator
Mercor
Job Overview
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Job Description
About The Role: Mathematics AI Evaluator
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.
As a Mathematics AI Evaluator, you will play a crucial role in refining and evaluating the behavior of large language models (LLMs) in complex mathematical contexts. This position is available as a full-time or part-time contract and offers competitive compensation.
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)
Please complete your AI interview and application steps to be considered for this opportunity.
- 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
Key Skills/Competency
- Mathematics
- Artificial Intelligence
- Large Language Models (LLMs)
- Prompt Engineering
- Mathematical Evaluation
- Data Annotation
- Technical Writing
- Probability & Statistics
- Logical Reasoning
- Fact-Checking
How to Get Hired at Mercor
- Research Mercor's mission: Study their focus on connecting talent with AI research labs and their investor backing from notable figures.
- Tailor your resume strategically: Emphasize your PhD in Mathematics, experience with Probability & Statistics, and significant LLM interaction.
- Prepare for the AI interview: Understand that the initial screening at Mercor involves an AI interview; practice articulating your mathematical and AI evaluation experience clearly.
- Showcase writing and evaluation skills: Highlight your ability to explain complex mathematical concepts and review technical content effectively.
- Demonstrate attention to detail: Be prepared to discuss specific examples where your meticulousness prevented errors in mathematical or technical work.
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