Job description
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 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.
This job post has been translated by AI and may contain minor differences or errors.
