Math Experts for AI Training
Indexed description
Role Overview
We are looking for a highly analytical and research-driven individual with a strong background in Computational Mathematics to contribute to advanced AI evaluation initiatives.
In this role, you should be able to break down complex Maths problems into simple, clear explanations and work efficiently.
Responsibilities:
- Design and solve challenging Maths problems to probe the limitations of large language models
- Create clear, high-quality, step-by-step solutions with well-articulated reasoning
- Collaborate with LLM researchers to align problems with evaluation goals, especially in areas where models struggle (e.g., abstraction, multi-step reasoning, symbolic manipulation)
- Help define new evaluation benchmarks based on Mathematics curricula spanning early undergraduate to PhD-level topics
Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria,Turkey, Vietnam
Selection process: Home Assignment
Requirements
- Master's, Ph.D., or those currently pursuing a Ph.D. in Mathematics, Applied Mathematics, or Statistics
- Proficient in at least three of the following tools: Magma, Macaulay2, Singular, GAP, SageMath, Polymake, 4ti2, LattE, DIPHA, PHAT, AUTO-07P, XPPAUT, Perseus, Stan, PyMC, OR-Tools, Z3, PARI/GP, and fpLLL
- Strong research and analytical skills
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search