Mathematics Expert (MSc./PhD)

Overview

micro1 is seeking Mathematics Experts for a fully remote AI training project focused on advanced mathematical problem-solving, computational mathematics, numerical methods, and Python-based workflows. The role is contractor-based and the schedule is flexible, with roughly 15 hours per week. The work is output-based and paid per task that meets project specifications, with minimum submission requirements applying.

What You’ll Work On

• Solve and validate advanced mathematical and computational problems.
• Translate mathematical requirements into precise, executable workflows.
• Implement mathematical workflows using Python and command-line-accessible tools.
• Use Python for calculations, numerical experiments, parameter sweeps, visualization, and result validation.
• Create, solve, review, and verify mathematical tasks that can be completed through programmatic workflows.

Requirements

• An MS or PhD in Mathematics, Applied Mathematics, Statistics, Operations Research, Computational Science, Theoretical Computer Science, or a closely related quantitative field; or
• A BS in Mathematics or a closely related quantitative field plus at least 1–2 years of mathematics-focused professional or research experience in top companies or institutions.
• Strong expertise in at least one area such as applied mathematics, numerical analysis, optimization, probability, statistics, discrete mathematics, algebra, geometry, mathematical modeling, or dynamical systems.
• Ability to work with Python and equivalent CLI-accessible mathematical tools.
• Comfort translating mathematical problems into reproducible computational procedures.

Tools and Workflow

• Common tools may include Python, SymPy, SageMath, SciPy, CVXPY, NumPy, GNU Octave, Julia, or similar programmatic mathematical software.
• Relevant Python libraries may include NumPy, SciPy, SymPy, pandas, Matplotlib, Jupyter, CVXPY, statsmodels, NetworkX, numerical solvers, optimization libraries, or domain-specific scientific packages.
• No single library is mandatory, as long as an equivalent tool can be used.

Process

1. Apply to the role and complete the screening questions.
2. Complete an AI interview of approximately 30 minutes.
3. Complete the hiring manager review.

Schedule and Start Timeline

• Flexible schedule; you can choose the hours and days you work, including weekends if desired, as long as you are active.
• The team typically fills roles within 48 hours.
• If selected, you are expected to start your first task within 24–48 hours of completing onboarding.