About this position
Job Title: Mathematics Expert (MSc. or PhD)Compensation: $80–$120 per hour
Location: Global — Fully Remote
Employment Type: Contractor
Workload: Approximately 15 hours per week
Schedule: Flexible, with the option to work on weekdays or weekends, subject to availability requirements.
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 computational and command-line-based workflows. Candidates will translate mathematical problems into executable procedures, implement algorithms, generate reproducible results, test special cases, and verify mathematical and numerical accuracy.
Key Responsibilities
- Solve and validate advanced mathematical and computational problems.
- Translate mathematical requirements into precise, executable workflows.
- Implement mathematical algorithms and workflows using Python and command-line tools.
- Automate calculations, numerical experiments, parameter sweeps, and result validation.
- Review computational outputs for mathematical correctness, numerical stability, and reproducibility.
- Use scientific computing tools and relevant libraries to support complex mathematical analysis.
Required Qualifications
- A master's degree or PhD in Mathematics, Applied Mathematics, Statistics, Operations Research, Computational Science, Theoretical Computer Science, or a closely related quantitative field; or
- A bachelor's degree in Mathematics or a related quantitative field, along 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 mathematical discipline, such as:
- Applied mathematics and numerical analysis
- Optimization and operations research
- Probability and statistics
- Discrete mathematics
- Algebra and geometry
- Mathematical modeling and dynamical systems
- Strong computational problem-solving and analytical skills.
- Ability to implement, test, and validate mathematical solutions using Python or equivalent computational tools.
Relevant Tools & Technologies
Experience with one or more of the following tools is beneficial:
- Programming and scientific computing: Python, Julia, GNU Octave
- Mathematical computation: SymPy, SageMath
- Numerical analysis: NumPy, SciPy
- Optimization: CVXPY and related optimization libraries
- Data analysis and visualization: pandas, Matplotlib, Jupyter
- Statistical modeling and network analysis: statsmodels, NetworkX
Equivalent command-line-accessible mathematical software is also acceptable. No single library is mandatory.
Selection Process
- Application: Apply for the role and complete the screening questions.
- AI Interview: Complete an interview lasting approximately 30 minutes.
- Hiring Manager Review: Undergo a final review of your qualifications and expertise.
Compensation Structure
Compensation is output-based, with payment provided for each task that meets the project's specifications. Task completion time may vary depending on the complexity of the problem, the expert's experience, and the chosen workflow. Minimum submission requirements apply.
Start Timeline & Availability
The hiring process typically takes around 48 hours. Candidates who are ready to begin immediately are preferred.
Ideal Candidate Profile
A highly analytical mathematics professional with advanced quantitative expertise, strong Python programming skills, and the ability to develop reproducible computational solutions to complex mathematical problems.
Location
New York .
The source lists New York but does not specify a city. Check the original listing for the work location and any remote-work conditions.
How to apply
Review the vacancy and complete the application on the employer or recruitment partner’s website. Requisition ID: WJ-3205921625.