Scientific Mathematics Specialist

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 seeking a mathematics-focused professional to support an advanced AI research initiative developing high-quality STEM coding datasets. In this role, you will create rigorous mathematical problems, implement verified Python solutions, and develop evaluation tests designed to assess the capabilities of frontier AI models. The position combines mathematical problem-solving, scientific programming, and AI quality evaluation, with a strong emphasis on accuracy, determinism, and first-submission quality.
CONTRACT: Contractor assignment, 4 weeks
COMMITMENT: Hourly, up to 40h/week
LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Pakistan, Turkey, Vietnam
PROCESS: Interest Check Form, CV and Google Scholar review
Key Responsibilities
Author mathematical coding tasks containing one main problem and at least 3 logically connected sub-problems that progressively build toward the main solution
Implement verified golden solutions in Python with complete unit test coverage
Design discriminative test cases that distinguish correct from incorrect AI-generated outputs
Perform quality control validation using the Central Task Platform (CTP), including Tier 1 structure checks and Tier 2 quality rubrics
Refine problem specifications, solutions, and test cases based on QC feedback
Optimize tasks to meet Pass@K evaluation criteria across multiple LLM judges, including GPT, Gemini, and Nemotron
Ensure mathematical correctness, well-posedness, determinism, and compliance with project quality standards
Maintain high first-submission quality and minimize rework, targeting consistent L1 approval
Participate in review sessions, feedback meetings, and project standups during required overlap hours
Requirements
Master's degree or PhD in Mathematics
Strong Python programming skills with experience in scientific computing
Experience using scientific Python libraries such as NumPy, SciPy, SymPy, or relevant domain-specific tools
Ability to formulate rigorous mathematical problems with clear constraints and expected outputs
Experience implementing scientific or mathematical solutions with unit tests and deterministic outputs
Prior experience in AI data annotation, scientific research, or scientific writing
Familiarity with LLM evaluation frameworks, coding benchmarks, or AI-generated code assessment
Published research or academic project experience in mathematics or another STEM discipline

Work arrangement
No