Mathematics Research Collaborator (Part-time)

Weekday 1; United States; Remote; USD 110,000 - 152,000; Full time

Benefits offered by this job

Fully remote engagement

Flexible scheduling

Weekly payments via Stripe/Wise

Job summary

Weekday 1 invites accomplished mathematicians to join a fully remote, part-time engagement focused on training AI systems to reason about advanced mathematics. Contributors review papers, craft challenging research problems, and assess AI-generated proofs for rigor.

The role emphasizes collaboration with leading researchers and a flexible schedule. Applicants should have a PhD or postdoctoral training, a strong publication record, and recognition through prestigious fellowships or IMO/Putnam

Qualifications

• Need substantial publication record in top math journals.
• PhD or postdoc training in mathematics or related field.
• Experience as PI or Co-PI on competitive research grants.
• Exceptional achievement through Putnam/IMO recognized candidates also welcomed.

Responsibilities

• Review advanced mathematical research papers for correctness and novelty.
• Design high-level math problems for AI training and benchmarking.
• Analyze AI-generated proofs and derivations for rigor and soundness.
• Identify logical errors and missing assumptions requiring expert judgment.
• Collaborate with subject-matter experts to ensure high-quality training data.
• Provide detailed written feedback to improve AI reasoning.

Skills

First-author publications

Fellowships and honors

Independent researcher

Strong publication record

Education

PhD or postdoctoral training in Mathematics or related STEM

Job description

This role is for one of our clients

Compensation: $80 - $110 per hour

Join a cutting-edge AI research initiative focused on advancing the next generation of mathematical reasoning systems. This opportunity is designed for accomplished mathematicians who are passionate about applying their research expertise to improve frontier AI models capable of solving complex mathematical problems at a professional research level.

Rather than working on textbook-style mathematics, you'll help train AI systems to reason across advanced areas such as number theory, algebra, algebraic geometry, topology, analysis, partial differential equations, probability, combinatorics, dynamical systems, logic, representation theory, mathematical physics, theoretical computer science, statistics, and related disciplines.

As part of a collaborative team of researchers, you'll contribute directly to the development of AI models that perform sophisticated mathematical reasoning.

Requirements

Key Responsibilities

• Review and assess advanced mathematical research papers for correctness, originality, and rigor.
• Design and evaluate challenging research-level mathematics problems used to train and benchmark AI models.
• Analyze AI-generated proofs, derivations, formalizations, and problem-solving approaches for accuracy and mathematical soundness.
• Identify subtle logical errors, missing assumptions, invalid proof steps, and reasoning flaws that require expert mathematical judgment.
• Collaborate with fellow subject matter experts to ensure consistently high-quality training data and evaluation standards.
• Provide detailed written feedback to improve AI reasoning and mathematical performance.

Required Qualifications

Candidates should meet several of the following criteria:

• First-author or sole-author publications in leading mathematics journals such as:
• Annals of Mathematics
• Inventiones Mathematicae
• Journal of the American Mathematical Society
• Acta Mathematica
• Duke Mathematical Journal
• Communications on Pure and Applied Mathematics
• Geometry & Topology
• Journal of the European Mathematical Society (JEMS)
• Geometric and Functional Analysis (GAFA)
• Advances in Mathematics
• Probability Theory and Related Fields
• Candidates from adjacent disciplines with publications in premier venues such as STOC, FOCS, SODA, or Annals of Statistics are also encouraged to apply.
• PhD or postdoctoral training in Mathematics or a closely related STEM discipline from a globally recognized institution.
• Recognition through prestigious fellowships, scholarships, or honors, such as:
• Clay Research Fellowship
• NSF Graduate Research Fellowship
• NSF Postdoctoral Fellowship
• Sloan Research Fellowship
• Packard Fellowship
• Simons Fellowship or Simons Investigatorship
• AMS Centennial Fellowship
• Hertz Fellowship
• Marshall or Rhodes Scholarship
• New Horizons in Mathematics Prize
• Salem Prize
• Ramanujan Prize
• Earlier‑career applicants may instead demonstrate exceptional achievement through Putnam Fellow recognition or an International Mathematical Olympiad (IMO) medal.
• Experience serving as Principal Investigator or Co-Investigator on competitive research grants (e.g., NSF CAREER Award or equivalent).
• Current or recent experience as a:
• PhD candidate
• Postdoctoral researcher
• Faculty member
• Research mathematician
• Principal researcher
• Industry research scientist

Outstanding senior PhD candidates and recent graduates with exceptional publication records are strongly encouraged to apply.

Engagement Details

• Part-time engagement of up to 20 hours per week
• Fully remote with flexible scheduling
• Opportunity to collaborate with leading AI researchers on frontier mathematical reasoning projects
• Compensation is competitive and based on research expertise, academic accomplishments, and professional experience.

Equal Opportunity

We welcome applications from qualified professionals regardless of legally protected characteristics and are committed to providing reasonable accommodations throughout the engagement process upon request.

Contract & Payment Terms

• Engagement is offered on an independent contractor basis.
• This is a fully remote opportunity that can be completed according to your own schedule.
• Project duration may be extended, shortened, or concluded based on project requirements and individual performance.
• Work will not require access to confidential or proprietary information belonging to any current employer, client, or institution.
• Payments are issued weekly through Stripe or Wise based on approved work completed.
• Please note that H-1B visa holders and STEM OPT candidates are not eligible for this opportunity.