Mathematician | Remote | $74/hr Max
Mercor
Part time
Human Resources
Canada
Hiring from: Canada
## About the job
**Compensation:** **$53–$74/hour**
**Commitment:** **20–30 hours/week**
## Role Responsibilities
### Must-Have
- 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**.
- Position:** Mathematician
**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.
### Must-Have
- 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.
- 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: [email protected]
- PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.*,
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