Handshake
Mathematics Expert
Skills
2 months ago
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Important information
Contract type:
Part time
Salary:
$156,000 / year
Location:
United States
Work mode:
Remote
Published on:
3 September 2026
What they need
Opportunity Overview
Handshake is looking for experienced mathematicians and research scientists to support AI research through flexible, part-time contract work. This is not a traditional job — you'll draw on your hands-on experience in pure or applied mathematics to evaluate AI-generated content and provide feedback that helps AI reason like a practicing mathematician.
This is an ongoing, project-based opportunity you can take on alongside your current role.
What You'll Do
- Use your domain expertise to create expert-level mathematics problems and scenarios grounded in real proof, formalization, and computational workflows
- Review and evaluate AI-generated responses for technical accuracy, rigor, and alignment with how the work is actually done
- Provide structured written feedback to help improve AI model performance
- Complete tasks at your own pace with no set schedule or minimum hour requirement
Qualifications
Ideal candidates meet all three of the following:
- Research experience — first-author publications and the ability to formalize proofs that AI models fail on
- Degree — PhD in Mathematics (pure or applied)
- Sub-domain depth — demonstrated expertise in one of the following areas:
- Proof and formal methods (Lean, Coq, Isabelle)
- Symbolic computation (SageMath, Mathematica), optimization, and numerical analysis
- A core subfield such as algebra, topology, number theory, or combinatorics
Candidates who meet at least 2 of the 3 qualifications above are also encouraged to apply.
Additional qualifications (not required, but strengthen your application)
- Proficiency with theorem provers and symbolic computation software
- Experience formalizing proofs or working on problems at the edge of what current AI models can handle
Required for all applicants
- Must have US work authorization
- Strong written communication and attention to detail
- Ability to explain complex mathematical concepts clearly
- Ability to work independently in a remote, asynchronous environment
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