# Mathematics Expert (Python & AI)

**Company:** [Gramian Consulting Group](null/companies/kANY7hHLXDH7fUqyifRLmf.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Contract
**Department:** Talent Solutions

[Apply for this job](null/view/2cea1058-a52d-4260-ab71-e2b777293815)

## 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 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.