Mathematics Domain Expert

Mercor; United States; Remote; USD 124,000 - 193,000; Full time

Job summary

Mercor is seeking senior mathematicians to guide how frontier AI models reason about real mathematical research. You will review the quality of mathematical reasoning tasks and model outputs, write problem specifications and reference solutions, and design benchmarks that demonstrate genuine model improvement.

The role requires a PhD and a proven publication record, with hands-on use of research mathematics and strong written communication.

Qualifications

• PhD in mathematics or closely related field.
• Faculty-level senior research role or equivalent.
• Specialization in at least one area (e.g., analysis, PDE, algebra, geometry, probability, applied math).
• Strong peer-reviewed publication record; recognitions are a plus.

Responsibilities

• Expert review: Assess mathematical tasks and model outputs for rigor and validity.
• Write precise problem statements and reference solutions and proofs.
• Design benchmarks and evaluation sets in your area of specialization.
• Collaborate with researchers to turn tacit judgment into explicit criteria.

Skills

AI fluency

Communication

Analytical depth

Domain depth in mathematics

Education

PhD in mathematics or closely related field

Job description

Pay: $90 – $140/hour
Commitment: Hourly
Open to: USA

Help define how frontier AI models reason about mathematics.

1. Overview

We are looking for senior mathematicians to improve how frontier AI models reason about real mathematical research.

Your mathematical judgment is the substance of this role. You will review the quality of mathematical reasoning tasks and model outputs, write the problem specifications and reference solutions and proofs that define what "correct" looks like, and design benchmarks that show whether a model is genuinely improving. We are looking for a practicing specialist rather than a generalist.

This role is fully remote.

2. Key Responsibilities

• Expert review: Assess mathematical tasks and model outputs, catching gaps in proofs, unjustified steps, incorrect generalizations, and arguments that read well but would not survive peer review.
• Problem specs and reference solutions: Write precise problem statements and rigorous reference solutions and proofs that reflect how research mathematics is actually done.
• Benchmarks: Design challenging, research-level problems and evaluation sets in your area of specialization.
• Calibration: Work with other researchers and experts in adjacent fields to turn tacit expert judgment into explicit, teachable criteria.

3. Core Qualifications

• Education: PhD in mathematics, applied mathematics, statistics, operations research, or a closely related field.
• Seniority: A faculty appointment, principal investigator, staff or senior scientist, or an equivalent senior research role at a university, national laboratory, or research organization.
• Domain depth: Genuine specialization in at least one area, for example analysis and PDE, algebra and number theory, geometry and topology, probability and statistics, or applied mathematics and optimization.
• Research record: A strong peer-reviewed publication record. Recognition such as competitive fellowships or awards is a plus.
• AI fluency: Hands-on use of large language models in your work, and the judgment to tell a sound argument from a plausible-sounding wrong one.
• Communication: Excellent written communication and the ability to give precise, well-structured feedback.
• Location: Based in the United States.