Math (PhD) Part-time NEW

Math (PhD)

$73.29 per hour

Location: Geography restricted to USA, UK, Canada, EU

Type: Full-time or Part-time Contract Work

Fluent Language Skills Required: English

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.

In mathematics-related contexts, conversational AI systems must demonstrate precise formal reasoning, mathematical rigor, and conceptual clarity. This project focuses on evaluating and improving how models reason about mathematical problems, explanations, and proofs across both foundational and advanced areas of mathematics.

What You'll Do

• 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
• Assess clarity, structure, and appropriateness of explanations for different audiences
• Ensure model responses align with expected conversational behavior and system guidelines
• Apply consistent evaluation standards by following clear taxonomies, benchmarks, and detailed evaluation guidelines

Who You Are

• You hold a PhD in Mathematics or a closely related field
• You have demonstrated experience in Probability & Statistics, and may also have experience in one or more of the following areas:
• Algebra & Number Theory
• Calculus & Analysis
• Geometry & Topology
• Discrete Mathematics, Logic & Computation
• 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 explain complex mathematical concepts
• You have strong attention to detail and consistently notice subtle issues others may overlook
• You have experience reviewing or editing technical or academic writing

Nice-to-Have Specialties

• 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

What Success Looks Like

• You identify inaccuracies or weak reasoning in mathematical-related model outputs
• Your feedback improves the rigor, clarity, and correctness of AI explanations
• You deliver consistent, reproducible evaluation artifacts that strengthen model performance
• Mercor customers trust their AI systems in mathematical contexts because you've rigorously evaluated them

Why Join Mercor

Mercor provides mathematicians with the opportunity to apply deep theoretical expertise to the evaluation and improvement of advanced AI systems. This flexible, remote role allows you to influence how mathematical reasoning is represented and communicated at scale.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.

Location Requirements

USA, GBR, CAN