About this opportunity
Overview
micro1 is hiring Mathematics Experts for a fully remote, global AI training project focused on advanced mathematical problem-solving, computational mathematics, numerical methods, and Python-based workflows.
The work is contractor-based and generally expected to average about 15 hours per week, with flexible scheduling. You can choose the days and hours you work, including weekends if desired, as long as you remain active.
This role centers on creating, solving, reviewing, and validating mathematical tasks that can be completed through programmatic, command-line-based workflows. A representative task may involve turning a math problem into a computational procedure, implementing equations or algorithms, producing a reproducible result, testing special cases, and checking whether the final answer is mathematically and numerically valid.
What You'll Do
- 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 to automate calculations, numerical experiments, parameter sweeps, visualization, and result validation.
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 mathematical area such as applied mathematics, numerical analysis, optimization, probability, statistics, discrete mathematics, algebra, geometry, mathematical modeling, or dynamical systems.
- Ability to work with programmatic mathematical software such as Python, SymPy, SageMath, SciPy, CVXPY, NumPy, GNU Octave, Julia, or similar CLI-accessible tools.
- Familiarity with Python tools such as NumPy, SciPy, SymPy, pandas, Matplotlib, Jupyter, CVXPY, statsmodels, NetworkX, numerical solvers, optimization libraries, or similar scientific packages is relevant, though no single library is mandatory.
Process
- Apply to the role and complete the screening questions.
- Complete an AI interview of approximately 30 minutes.
- Complete the hiring manager review.
Compensation
Compensation is output-based and paid per task that meets the project specifications. The time required per task may vary depending on the expert’s experience and workflow, and minimum submission requirements apply.
Availability
The team typically fills roles within 48 hours and is looking for experts who can begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.
