Design graduate-level computational problems using PyMC, PyStan, FEniCS, FEniCSx, GUDHI, and related tools across Bayesian statistics, numerical PDEs, and computational topology — calibrating tasks against frontier AI models to build AI reasoning benchmarks.
Maths STEM Expert
Remote (Global)
June 9, 2026
Job description
Role Overview
Highly skilled mathematicians to tackle challenging problems and enable today's leading LLMs to attain advanced mathematics proficiency. Open to both undergraduate-level and masters/PhD-level mathematicians.
Key Responsibilities
- Develop and implement advanced mathematical models and computational techniques
- Review cutting-edge mathematical literature and emerging methodologies
- Apply quantitative and computational approaches to analyze data and optimize models
- Contribute rigorous mathematical reasoning to research projects
Domains
- Computable Functions & Mathematical Logic
- Algebra & Number Theory
- Linear Algebra & Matrix Theory
- Topology & Geometry
- Real Analysis
- Probability & Statistics
- Applied Mathematics
Requirements
- Bachelor's, Master's, or PhD in Mathematics or related field
- Strong expertise in at least 4 of the 7 listed domains
- Excellent analytical, critical thinking, and problem-solving skills
Apply now
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Remote contract opportunity for experienced mathematicians and quantitative specialists to evaluate AI-generated mathematical reasoning and review complex solutions.
Are you a statistics expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery.
Create and evaluate advanced mathematics problems to help improve AI reasoning and chatbot performance in this flexible remote role.