Design and solve challenging mathematics problems to probe LLM limitations, produce clear step-by-step solutions, collaborate with researchers on evaluation goals, and help define math-based benchmarks from undergraduate to PhD level.
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
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.
Commitments Required: 8 hours per day with an overlap of 4 hours with PST.
Employment type: Contractor assignment (no medical/paid leave)
Duration of contract: 10+ weeks
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.
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