Mathematics Expert (MSc./PhD)

Remotebridge

United States

Remote

USD 110,000 - 165,000

Part time

48 hours ago
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Job summary

Remotebridge is seeking a Mathematics Expert (MSc or PhD) for a global, fully remote contractor role. You will tackle AI training tasks that require high-level mathematical reasoning, numerical methods, and Python automation.

Choose flexible hours (≈15 hours/week) and work across time zones. You’ll translate problems into reproducible computational procedures, validate results, and contribute to scalable workflows using Python and CLI tools.

Qualifications

  • 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/institutions.

Responsibilities

  • 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.

Skills

Mathematics
Python programming
CLI tooling
Numerical methods

Education

MS or PhD in Mathematics/Applied Mathematics/Related field
BS in Mathematics + 1–2 years experience

Tools

Python
NumPy
SciPy
SymPy
SageMath
CVXPY
Matplotlib
Jupyter

Job description

Mathematics Expert (MSc. or PhD)

Pay: $80–$120/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible—you can choose the hours and days you work, including weekends if desired as long as you're active.

We are looking for highly skilled Mathematics Experts to contribute to an AI training project involving advanced mathematical problem-solving, computational mathematics, numerical methods, and Python.

The work involves creating, solving, reviewing, and validating mathematical tasks that can be completed through programmatic, command-line-based workflows. A representative task may require translating a mathematical problem into a computational procedure, implementing the relevant equations or algorithms, calculating a reproducible result, testing special cases, and determining whether the final answer is mathematically and numerically valid.

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 to automate calculations, numerical experiments, parameter sweeps, visualization, and result validation.
Required Qualifications
  • 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/institutions.

Relevant tools may include Python, SymPy, SageMath, SciPy, CVXPY, NumPy, GNU Octave, Julia, or similar programmatic mathematical software. Experience with an equivalent CLI-accessible tool is acceptable.

Relevant Python tools 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.

Process
  • Apply to the role and complete the screening questions.
  • Complete an AI interview of approximately 30 minutes.
  • Complete the hiring manager review.
Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Minimum submission requirements apply.

Start Timeline & Availability
  • We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately.
  • If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.
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