JOB OPPORTUNITY: MATHEMATICS EXPERT (MSc. OR PhD)

Pay: $80–$120 per hour
Location: Global (Fully Remote)
Job Type: Contractor
Workload: Approximately 15 hours per week
Schedule: Flexible — choose your working hours and days, including weekends, provided you remain active.

Job Summary

We are seeking highly skilled Mathematics Experts to contribute to an AI training project focused on advanced mathematical problem-solving, computational mathematics, numerical methods, and Python programming.

The role involves creating, solving, reviewing, and validating mathematical tasks using programmatic and command-line-based workflows.

Typical assignments may require translating mathematical problems into computational procedures, implementing equations or algorithms, calculating reproducible results, testing special cases, and verifying the mathematical and numerical validity of final answers.

Key Responsibilities

1. Solve and validate advanced mathematical and computational problems.
2. Translate mathematical requirements into precise, executable workflows.
3. Implement mathematical procedures using Python and command-line-accessible tools.
4. Automate calculations, numerical experiments, parameter sweeps, visualizations, and result validation using Python.

Required Qualifications

Candidates must meet one of the following educational and professional requirements:

1. Hold a Master’s degree (MS/MSc) or PhD in Mathematics, Applied Mathematics, Statistics, Operations Research, Computational Science, Theoretical Computer Science, or a closely related quantitative field; or
2. Hold a Bachelor’s degree (BS/BSc) in Mathematics or a closely related quantitative field, with at least 1–2 years of mathematics-focused professional or research experience at leading companies or institutions.

Additionally, candidates must demonstrate strong expertise in at least one mathematical area, including:

• Applied Mathematics
• Numerical Analysis
• Optimization
• Probability and Statistics
• Discrete Mathematics
• Algebra and Geometry
• Mathematical Modelling
• Dynamical Systems

Relevant Technical Skills and Tools

Experience with programmatic mathematical software is required. Relevant tools may include:

• Programming and Scientific Computing: Python, Julia, GNU Octave
• Symbolic Mathematics: SymPy, SageMath
• Numerical Computing: NumPy, SciPy
• Optimization: CVXPY and other optimization libraries
• Data Analysis and Visualization: pandas, Matplotlib, Jupyter
• Statistical Analysis: statsmodels
• Network Analysis: NetworkX
• Other Tools: Numerical solvers and domain-specific scientific packages

Experience with equivalent command-line-accessible tools is also acceptable. No single Python library is mandatory.

Application and Selection Process

1. Application: Apply for the role and complete the screening questions.
2. AI Interview: Complete an interview lasting approximately 30 minutes.
3. Hiring Manager Review: Your application and qualifications will be reviewed.

Compensation Structure

Compensation is output-based. Experts are paid for each task that meets the project’s specifications.

The time required to complete assignments may vary depending on the expert’s experience and workflow. Minimum submission requirements apply.

Start Timeline and Availability

1. Positions are typically filled within 48 hours.
2. Candidates should be ready to begin immediately.
3. If selected, you must start your first task within 24–48 hours of completing onboarding.