Remote | Mathematics Expert (Master's/Ph.D.)

We are sharing a specialised part-time consulting opportunity for advanced mathematics researchers and graduate-level experts to contribute to large language model evaluation through mathematical problem design, rigorous reasoning, computational analysis, formal theorem proving, and high-quality solution development.

Selected professionals will create and solve challenging mathematics problems, evaluate model-generated solutions, develop computational tasks using Python, and contribute to formal proof workflows using Lean. The work spans early undergraduate through Ph.D.-level mathematics and is designed to assess advanced reasoning, abstraction, proof construction, and computational accuracy.

Key Responsibilities

Advanced Mathematics Problem Development

• Design original and challenging mathematics problems
• Create tasks requiring abstract and multi-step reasoning
• Develop proof-based and closed-ended evaluation problems
• Cover mathematical topics across varied levels of difficulty
• Align problems with specific model-evaluation objectives

Mathematical Reasoning & Solution Review

• Solve complex mathematical problems independently
• Produce detailed and logically structured solutions
• Explain each conclusion with clear mathematical justification
• Review model-generated solutions for correctness and completeness
• Identify errors, missing arguments, and flawed reasoning

Computational Mathematics & Python

• Develop computational tasks requiring precise numerical answers
• Write reliable Python solutions for mathematical problems
• Use approved scientific libraries where appropriate
• Verify numerical outputs and computational results
• Provide clear rationales supporting calculated answers

Formal Proof & Benchmark Development

• Contribute to mathematics evaluation benchmarks
• Translate mathematical statements and proofs into Lean
• Develop formal theorem-prover tasks
• Verify that formal proofs compile correctly
• Support evaluation across undergraduate through Ph.D.-level curricula

Research Collaboration & Technical Communication

• Provide detailed annotations and constructive feedback
• Explain advanced mathematics in clear and accessible language
• Communicate evaluation findings in a structured format
• Collaborate remotely with research and technical contributors
• Work independently while maintaining consistent project quality

Ideal Profile

• Currently pursuing or holding a Master's, Ph.D., or postdoctoral position in Mathematics or a related field
• Applied Mathematics and Statistics backgrounds are also relevant
• Strong mathematical research and analytical capabilities
• Ability to solve complex problems using structured logical reasoning
• Expertise may include number theory
• Combinatorics and discrete mathematics experience is relevant
• Probability and statistics expertise is valuable
• Familiarity with mathematical logic and foundations is welcome
• Differential equations and dynamical systems backgrounds are relevant
• Strong understanding of algebra, calculus, and analysis
• Geometry and topology expertise is valuable
• Comfortable with abstract and proof-based mathematics
• Ability to explain mathematical concepts using simple language, visuals, and examples
• Strong creative and lateral thinking abilities
• Ability to provide detailed annotations and constructive feedback
• Python programming capability is valuable for computational assignments
• Familiarity with Lean or formal theorem proving is particularly relevant
• Excellent written English communication
• Self-motivated and able to work independently
• Reliable desktop or laptop setup with a stable internet connection

Engagement Details

• Part-time independent contractor / freelance engagement
• Fully remote
• Available commitment options are 20, 30, or 40 hours per week
• Minimum commitment is 20 hours per week
• At least 4 hours of work per day is required
• Approximately 4 hours of overlap with PST is required
• Work will involve mathematical problem design, solution evaluation, computational tasks, and benchmark development
• Assignments may include Python-based numerical and computational work
• Some projects may involve Lean and formal theorem-prover workflows
• Mathematics content may range from early undergraduate through Ph.D. level
• Contract extension may be available depending on performance and project requirements
• No medical or paid-leave benefits are included under the contractor arrangement
• Work must be completed without using confidential, proprietary, unpublished research, restricted datasets, or otherwise protected information belonging to any employer, university, research group, client, or other third party

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy