Handshake AI
Handshake AIVerified listing
Remote

Math Expert AI Evaluation Fellowship Remote

Up to 75/hr
Remote
Posted September 17, 2026
Part-Time
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Listing checked September 18, 2026 · pay as published by Handshake AI

Overview

Handshake AI recruits Math PhDs to sharpen how AI systems handle mathematical reasoning, proof construction, and technical problem-solving. The work centers on crafting difficult domain questions and checking AI-generated answers for accuracy, logical consistency, and mathematical rigor. Contributors join a remote, project-based fellowship with a schedule they set themselves. Most participants log 5 to 20 hours per week while a project is active, and no prior AI or technical experience is needed. Placement follows current project needs, with chances to join later projects as they open.

What You'll Do8

  • 1Design rigorous math questions and prompts that test an AI model's reasoning.
  • 2Review AI-generated responses for mathematical accuracy and step-by-step logic.
  • 3Flag errors in proofs, calculations, and formal arguments.
  • 4Write clear feedback that explains where a response fails or succeeds.
  • 5Assess whether a model's solution meets the standards of advanced mathematical proof.
  • 6Align questions with advanced math domains such as algebra, analysis, topology, or logic.
  • 7Work on a self-directed schedule across active projects.
  • 8Apply the same evaluation standards across many model responses.

Requirements8

  • 1Enrolled in a PhD program or hold a doctorate in mathematics or a related field.
  • 2Postdoctoral researchers qualify.
  • 3Strong command of advanced mathematical reasoning and proof-writing.
  • 4Background in formal logic.
  • 5Ability to judge AI-generated content for accuracy and logical consistency.
  • 6No prior AI or technical experience required.
  • 7Comfort with remote, project-based contract work and flexible hours.
  • 8F-1 students may qualify through CPT or OPT; STEM OPT is not supported.

Who Should Apply

The ideal candidate is a math PhD student, postdoc, or doctorate holder who enjoys writing proofs and finding subtle gaps in logical arguments. You can shape a 5 to 20 hour week around research, teaching, or industry work because the schedule is asynchronous and project-based. People who need guaranteed full-time hours or a permanent academic appointment will not find that here. A common reason applicants score low is weak evidence of advanced proof-writing or formal logic training, even when they have strong computational math skills. Work authorization also matters: F-1 students may qualify through CPT or OPT, but STEM OPT is not supported, and a school CPT course requirement may not match the program.

Salary Insight

Compensation reaches up to $75.00 per hour. The listing does not name a lower bound, so pay may depend on the project and your qualifications. A rate near the top of that range reflects the advanced math expertise this fellowship requires.

Pay and demand for Machine Learning & AI roles

Aggregated

Typical pay

$75/hour

This role

up to $75/hr

Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay falls inside that range.

Based on 513 similar roles that publish pay · 90 publish only a top rate; those count at the rate they gave

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Most requested skills · share of roles

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Location

Typeremote
LocationRemote
Eligible countriesUnited States
This is a remote position

Compensation

Up to $75/hr

Required Skills

mathematicsproof writingformal logicmathematical reasoningproof constructionai evaluationcontent reviewquestion designlogical consistencyaccuracy assessmenttechnical problem solvingphdpostdoctoral researchai-generated contentmodel feedbackmathematical rigor

Application Tip

Lead with your proof-writing and formal logic background. Name two or three advanced math areas where you can design original questions, and describe a time you caught a subtle flaw in a proof. Add your PhD status and work authorization details, such as CPT or OPT eligibility, because placement depends on project needs and supported authorization.

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