Mathematics & Statistics PhDs
This is not an open job
We are not filling a seat here. This listing collects experts in this field so we can reach out when a client project needs them. Adding your name puts you on that list — it does not start a hiring process, and there is no vacancy behind it.
What this pays
Rates are set by the client project, not by us, and we do not know them until a contract is in place. Work is paid hourly or per task depending on the engagement. We would rather tell you that than publish a figure we cannot stand behind.
About the Role
We seek Mathematics and Statistics PhDs to train AI on rigorous mathematical reasoning, proofs, and quantitative analysis. You will work across pure math, applied math, and statistics, from abstract algebra and topology to Bayesian inference and stochastic processes. This role is perfect for mathematicians who love problem-solving and want to improve AI math reasoning.
Requirements
- •PhD in Mathematics, Statistics, or Applied Mathematics
- •Expertise in one or more areas: analysis, algebra, probability, statistics, or combinatorics
- •Ability to write rigorous proofs and step-by-step mathematical derivations
- •Strong LaTeX skills for typesetting mathematical content
- •Experience with mathematical software (Mathematica, SageMath, R, Python/NumPy)
Responsibilities
- •Create and solve proof-based and computational math problems at PhD level
- •Review AI-generated math solutions for correctness and rigor
- •Generate training examples spanning calculus, linear algebra, number theory, and statistics
- •Annotate step-by-step solutions with clear logical reasoning
- •Develop test cases that expose gaps in AI mathematical reasoning
What the work looks like
- Rate set by the project, agreed before any work starts
- Remote, async-friendly work
- Shape AI mathematical reasoning
- Flexible hours to fit research schedules
- Reliable, on-time direct-deposit payments
Add your name
Uses the profile you already have — nothing to re-enter.