Mathematician | $120/hr | Remote

The Ai Training Company; United States; Remote; USD 60,000 - 100,000; Full time

Job summary

The Ai Training Company seeks Mathematics Experts, Applied Mathematicians, and Computational Researchers for a remote AI training project focused on advanced mathematical reasoning, numerical methods, and Python-based problem solving.

You will create, solve, review, and validate mathematically rigorous tasks, translating requirements into executable workflows and implementing equations and simulations using Python. Remote work with strong emphasis on reproducibility and documentation.

Qualifications

• MS or PhD in Mathematics, Applied Mathematics, Statistics, OR, Computational Science or closely related field.
• Strong expertise in at least one mathematical area such as applied mathematics, numerical analysis, optimization, probability, statistics, discrete mathematics, algebra, geometry, mathematical modeling, or dynamical systems.
• Ability to translate mathematical problems into executable computational procedures.
• Strong analytical reasoning and mathematical problem-solving ability.
• Experience using Python or another scientific computing environment.
• Ability to validate both mathematical reasoning and numerical results.
• Strong written communication and technical documentation skills.
• Comfortable working independently in a remote environment.

Responsibilities

• Solve and validate advanced mathematical and computational problems.
• Translate mathematical requirements into precise, executable computational workflows.
• Implement equations, algorithms, simulations, and numerical procedures using Python or similar tools.
• Use Python to automate calculations, numerical experiments, parameter sweeps, and result validation.
• Create challenging mathematical tasks that require genuine reasoning beyond simple substitutions.
• Develop reference solutions demonstrating correct mathematical and computational approaches.
• Test special cases, edge cases, limiting behavior, and numerical stability.
• Verify computational results are mathematically consistent and reproducible.
• Review mathematical solutions for logical, numerical, or implementation errors.
• Document assumptions, methods, calculations, and conclusions clearly.

Skills

Mathematics

Python

Numerical analysis

Problem solving

Education

MS/PhD in Mathematics or related

Background in statistics or operations research

Tools

Python

NumPy

SciPy

SymPy

Matplotlib

Job description

Mathematics Experts, Applied Mathematicians & Computational Researchers. Remote AI Project

We are seeking highly skilled Mathematics Experts, Applied Mathematicians, Computational Researchers, and Quantitative Specialists to contribute to a remote AI training project focused on advanced mathematical reasoning, computational mathematics, numerical methods, and Python-based problem solving.

You will create, solve, review, and validate mathematically rigorous tasks that can be executed through programmatic and command-line-based workflows. The work may involve translating mathematical problems into computational procedures, implementing equations or algorithms, testing special cases, and verifying that results are both mathematically correct and numerically reliable.

What You’ll Do

• Solve and validate advanced mathematical and computational problems.
• Translate mathematical requirements into precise, executable computational workflows.
• Implement equations, algorithms, simulations, and numerical procedures using Python or similar tools.
• Use Python to automate calculations, numerical experiments, parameter sweeps, and result validation.
• Create challenging mathematical tasks that require genuine reasoning rather than simple formula substitution.
• Develop reference solutions that clearly demonstrate the correct mathematical and computational approach.
• Test special cases, edge cases, limiting behavior, and numerical stability.
• Verify whether computational results are mathematically consistent and reproducible.
• Review mathematical solutions for logical, numerical, or implementation errors.
• Document assumptions, methods, calculations, and conclusions clearly.

Who Can Apply

Relevant backgrounds include Mathematicians, Applied Mathematicians, Computational Mathematicians, and Mathematical Scientists.

We also welcome Statistics Researchers, Statisticians, Probability Researchers, and Quantitative Scientists with strong mathematical foundations.

Optimization backgrounds may include Operations Research Scientists, Optimization Researchers, Mathematical Optimization Specialists, and Decision Scientists.

Computational backgrounds may include Computational Scientists, Scientific Computing Researchers, Numerical Analysts, and Computational Researchers.

Computer science backgrounds may include Theoretical Computer Scientists, Algorithms Researchers, Complexity Researchers, and Scientific Software Researchers with substantial mathematical expertise.

Additional relevant backgrounds include Quantitative Researchers, Mathematical Modelers, Data Scientists with advanced mathematical training, and Research Engineers working on mathematically intensive problems.

Requirements

• MS or PhD in Mathematics, Applied Mathematics, Statistics, Operations Research, Computational Science, Theoretical Computer Science, or a closely related quantitative field.
• Strong expertise in at least one mathematical area such as applied mathematics, numerical analysis, optimization, probability, statistics, discrete mathematics, algebra, geometry, mathematical modeling, or dynamical systems.
• Ability to translate mathematical problems into executable computational procedures.
• Strong analytical reasoning and mathematical problem-solving ability.
• Experience using Python or another programmatic scientific computing environment.
• Ability to validate both mathematical reasoning and numerical results.
• Strong written communication and technical documentation skills.
• Comfortable working independently in a remote environment.

Preferred Background

• Advanced academic or professional experience in mathematics, applied mathematics, statistics, operations research, computational science, or theoretical computer science.
• Experience with Python, NumPy, SciPy, SymPy, SageMath, CVXPY, pandas, Matplotlib, statsmodels, NetworkX, Julia, GNU Octave, or comparable mathematical tools.
• Experience with numerical methods, optimization, simulation, or scientific computing.
• Experience creating mathematically rigorous research code or reproducible computational experiments.
• Experience validating algorithms through numerical testing, analytical reasoning, or independent implementations.
• Experience with command-line workflows, Jupyter notebooks, scientific software, or research computing environments.
• Experience creating technical exercises, mathematical benchmarks, research problems, or computational assessments is valuable.

This opportunity is ideal for mathematics professionals who can take a difficult quantitative problem, formalize it precisely, choose an appropriate analytical or computational method, implement a reproducible solution, test whether the result is numerically sound, and clearly explain why the final answer is correct. We are a referral partner of the client.