Mathematics Research Collaborator (Part-time)

Weekday AI; United States; Remote; USD 110,000 - 152,000; Part time

Benefits offered by this job

Fully remote

Job summary

Weekday AI is seeking accomplished mathematicians for a fully remote, part-time engagement to advance AI models capable of solving complex mathematical problems. The role focuses on evaluating high-level math research and training data for frontier AI systems.

Applicants should have a PhD or equivalent, with strong publication records and recognition in the field. The work is collaborative, with flexible scheduling and weekly payments. Strong mathematical reasoning is essential.

Qualifications

• First-author publications in leading mathematics journals such as Annals of Mathematics, Inventiones Mathematicae, JAMS, Acta Mathematica, and others.
• PhD or postdoctoral training in Mathematics or closely related STEM field.
• Recognition through prestigious fellowships or prizes (e.g., Sloan, Simons, Packard, Rhodes).
• Experience as PI/Co-PI on competitive grants or industry research scientist roles.

Responsibilities

• Review and assess advanced mathematical research papers for correctness and originality.
• Design and evaluate research-level mathematics problems for AI training.
• Analyze AI-generated proofs and problem-solving approaches for accuracy.
• Identify logical errors and missing assumptions requiring expert judgment.
• Collaborate with subject-matter experts to ensure high-quality training data and evaluation standards.
• Provide detailed written feedback to improve AI reasoning.

Skills

Publications in top journals

Research collaboration

Mathematical proof analysis

Remote collaboration

Education

PhD or postdoctoral training

Putnam Fellow or IMO medal

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.

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.