Scientific Chemistry (Python, AI Evaluation)

About Us
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 scientific computing professional to contribute to an advanced AI training initiative focused on developing rigorous STEM coding datasets. The project involves creating and validating complex chemistry problems that help train and evaluate frontier AI models. You will be responsible for scientific problem design, Python implementation, and rigorous quality validation, ensuring that every task meets strict standards for scientific correctness, determinism, and evaluation performance.
CONTRACT: Short-term freelance
COMMITMENT: Hourly - up 40 40h/week
LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam
NOTE: Must have published research or academic project experience in a STEM domain.
Responsibilities
Design scientific coding tasks consisting of one main chemistry problem and at least 3 logically connected, progressively structured sub-problems
Develop verified golden solutions in Python with complete unit test coverage
Create discriminative test cases that distinguish correct from incorrect AI-generated outputs
Execute quality control validation through the Central Task Platform (CTP), including Tier 1 structural checks and Tier 2 quality rubrics
Iterate on task specifications, implementations, 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 scientific correctness, determinism, well-posedness, and adherence to project quality standards
Maintain high first-submission quality and minimize rework, targeting consistent L1 approval
Participate in review meetings, feedback sessions, and project standups during required overlap hours
Requirements
Master's degree or PhD in Chemistry
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 scientific problems with clear constraints and expected outputs
Experience writing or implementing scientific 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 involving chemistry or another STEM discipline

Work arrangement
No