We are seeking subject matter experts with advanced knowledge in mathematics or closely related quantitative disciplines to contribute to a high-impact AI training project. This is a fully remote, flexible, task-based opportunity where contributors complete individual assignments on their own schedule—there are no set hours or minimum weekly commitment.
Responsibilities
- Create original university- to graduate-level mathematics problems.
- Develop complete, step-by-step solutions in LaTeX.
- Review and evaluate AI-generated mathematical responses for accuracy and quality.
- Apply advanced mathematical reasoning to help improve AI performance.
Preferred Qualifications
- Master's degree or Ph.D. in Mathematics, Statistics, Applied Mathematics, Operations Research, Computer Science, Physics, Engineering, or another quantitative field.
- Strong expertise in one or more of the following:
- Probability & Statistics
- Calculus
- Linear Algebra
- Abstract Algebra
- Discrete Mathematics
- Geometry & Topology
- Differential Equations
- Number Theory
- Optimization & Numerical Mathematics
- Experience with mathematical research, teaching, or advanced quantitative problem-solving.
- Comfortable writing mathematical notation and solutions in LaTeX.
Compensation
- Task-based work with flexible scheduling.
- $450 per accepted math problem and solution, with most submissions taking approximately 3–5 hours to complete.
- $25 per review task, which typically takes about 20 minutes.
- High-performing contributors may be invited to complete additional review tasks.
Ideal Candidates
Candidates with experience in academic research, machine learning, statistical modeling, operations research, scientific computing, quantitative finance, data science, or university-level mathematics instruction are encouraged to apply.
Work Location: Remote
