Handshake AI
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Math Expert AI Evaluation Fellowship Remote

Up to 75/hr
Remote
Part-Time
Posted February 13, 2026
Not sure you qualify? Match your resume

Listing checked October 22, 2026 · pay as published by Handshake AI

Key details

Pay
Up to $75/hr
Location
RemoteUnited States
Job type
Part-Time
Posted
February 13, 2026

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

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

Requirements8

  • Enrolled in a PhD program or hold a doctorate in mathematics or a related field.
  • Postdoctoral researchers qualify.
  • Strong command of advanced mathematical reasoning and proof-writing.
  • Background in formal logic.
  • Ability to judge AI-generated content for accuracy and logical consistency.
  • No prior AI or technical experience required.
  • Comfort with remote, project-based contract work and flexible hours.
  • F-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 AI Training roles

Market estimates from live NearSkill listings — separate from this job's published terms.

Aggregated

This role · as published

Up to $75/hr

Taken from the listing itself.

Typical pay · estimated

$70/hour

Median of 1,264 similar roles that publish pay · 301 publish only a top rate; those count at the rate they gave

Most AI Training roles pay $40–$95 per hour. This role's pay falls inside that range.

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Required skills

MathematicsProof WritingFormal LogicMathematical ReasoningProof ConstructionAI EvaluationContent ReviewQuestion DesignLogical ConsistencyAccuracy AssessmentTechnical Problem SolvingPhdPostdoctoral ResearchAI Generated ContentModel FeedbackMathematical Rigor

How applying works

  1. 1. Pre-screen on NearSkill

    A quick application on NearSkill checks your fit against this role.

  2. 2. Finish on the employer’s site

    We hand you to Handshake AI’s official application page to complete the form.

  3. 3. Wait for a response

    The employer’s hiring team reviews applications and gets back to you.

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