Mathematician | Remote | $74/hr Max

Mercor WorkFromHome

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Base Pay Range

$53.00/hr - $74.00/hr

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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.

About the Job

Position: Mathematician

Contract Details

Type: Contract
Compensation: $53–$74/hour
Commitment: 20–30 hours/week

Role Responsibilities

Develop rigorous mathematical tasks, proofs, and structured reasoning datasets for training and evaluating agentic AI models.
Analyze model reasoning steps to identify logical weaknesses and conceptual gaps, improving mathematical understanding.
Collaborate with research teams to design multi-step problem‑solving pipelines, evaluation benchmarks, and reasoning curricula.
Create high‑quality annotations, explanations, and walkthroughs to teach models step‑by‑step problem‑solving.
Support model training by constructing mathematical tests for generalization, abstraction, deductive reasoning, and symbolic manipulation.
Work with engineers to integrate mathematical constraints, verification tools, and logic‑based checks into agent workflows.
Participate in synchronous collaboration sessions to refine reasoning approaches, review agent outputs, and iterate on dataset improvements.

Qualifications

Strong background in Mathematics, Applied Mathematics, Theoretical Computer Science, or a closely related quantitative discipline.
Deep understanding of core mathematical fields: algebra, calculus, probability, combinatorics, optimization, logic, or number theory.
Demonstrated problem‑solving ability through research, olympiads/competitions, teaching, or advanced coursework.
Ability to break complex problems into clear, structured steps suitable for model learning and reasoning supervision.
Familiarity with AI reasoning models, LLMs, or agentic AI concepts is a strong plus.
Comfort working with Python for inspecting model outputs, running experiments, or generating mathematical datasets.
Excellent collaboration and communication skills.
Ability to commit 20–30 hours per week, including required synchronous collaboration sessions.

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