Mathematics Researcher (Remote | $60–$120/hr)

Synthires; India; Remote; INR 7,857,000 - 15,714,000; Full time

Job summary

Synthires seeks a Mathematics Expert (MSc or PhD) for a remote contractor role. You will work on AI training tasks, solve mathematical problems, and build reproducible Python workflows.

The position emphasizes algorithm implementation, numerical methods, and rigorous validation, with flexible hours and international remote collaboration.

Qualifications

• Master's/PhD in Math or related field; or Bachelor's with 1–2 years of math-focused experience.
• Expertise in applied math, numerical analysis, optimization, probability, statistics, or dynamical systems.
• Proficiency in Python and programmatic mathematical problem-solving.

Responsibilities

• Solve and validate advanced mathematical and computational problems.
• Translate requirements into executable workflows.
• Implement equations and algorithms using Python and CLI tools.
• Automate calculations, numerical experiments, and visualizations.
• Test edge cases and verify numerical accuracy.
• Produce reproducible results meeting project specs.

Skills

Python

Mathematical problem solving

Workflow automation

Education

Master's or PhD in Mathematics or related field

Tools

SymPy

SciPy

NumPy

SageMath

Julia

Job description

Mathematics Expert (MSc./PhD) (Remote | $60-$120/hr)

Position: Mathematics Expert (MSc. or PhD)

Type: Contractor

Compensation: $60-$120 per hour

Location: Global, fully remote

About the Opportunity

This opportunity is for highly skilled mathematics experts to contribute to AI training projects involving advanced mathematical problem-solving, computational mathematics, numerical methods, and Python. The work focuses on developing, solving, reviewing, and validating mathematical tasks using reproducible, programmatic workflows.

Key Responsibilities

• Solve and validate advanced mathematical and computational problems.
• Translate mathematical requirements into precise, executable workflows.
• Implement mathematical equations and algorithms using Python and command-line tools.
• Automate calculations, numerical experiments, parameter sweeps, and visualizations.
• Test special cases and verify mathematical and numerical accuracy.
• Produce reproducible results that meet project specifications.

Required Qualifications

• A master's or PhD degree in Mathematics, Applied Mathematics, Statistics, Operations Research, Computational Science, Theoretical Computer Science, or a closely related quantitative field; alternatively, a bachelor's degree in Mathematics or a related field with at least 1-2 years of mathematics-focused professional or research experience at a leading company or institution.
• 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.
• Proficiency in Python and programmatic mathematical problem-solving.
• Ability to develop executable workflows and validate computational results.

Preferred Qualifications

• Experience with mathematical and scientific tools such as Python, SymPy, SageMath, SciPy, CVXPY, NumPy, GNU Octave, or Julia.
• Familiarity with pandas, Matplotlib, Jupyter, statsmodels, NetworkX, numerical solvers, optimization libraries, or domain-specific scientific packages.
• Experience with equivalent command-line-accessible mathematical software.

Compensation

• Listed compensation: $60-$120 per hour; detailed description specifies $80-$120 per hour.
• Output-based payment for tasks that meet project specifications.
• Approximately 15 hours per week with a flexible schedule.
• Minimum submission requirements apply.

Application Process

• Apply and complete the screening questions.
• Complete an AI interview of approximately 30 minutes.
• Undergo hiring manager review.
• Complete onboarding and begin the first task within 24-48 hours of onboarding completion if selected.

Start Timeline:

Immediate availability is preferred, and roles are typically filled within 48 hours.