Mô tả công việc
About Gramian
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 materials science professional to contribute to an advanced AI research project focused on building rigorous STEM coding datasets. The role combines materials science expertise, Python-based scientific computing, and AI evaluation, with a focus on creating well-structured scientific problems, implementing verified solutions, and developing tests that accurately distinguish correct from incorrect model outputs.
Contract
- Type: Freelance / Contractor
- Commitment: Full-time commitment; overlap requirements to be confirmed
- Locations: Remote; eligible locations to be confirmed
- Process: Not specified
Responsibilities
- Design scientific coding tasks with one main problem and at least 3 logically connected sub-problems.
- Implement verified Python solutions with complete unit test coverage.
- Create discriminative test cases that distinguish correct from incorrect AI-generated outputs.
- Perform quality control checks using the Central Task Platform (CTP), including Tier 1 structure checks and Tier 2 quality rubrics.
- Revise tasks and solutions based on QC feedback.
- Optimize tasks against Pass@K evaluation criteria across multiple LLM judges, including GPT, Gemini, and Nemotron.
- Validate scientific correctness, determinism, well-posedness, and expected outputs.
- Maintain a low rework rate and high first-submission quality.
- Participate in project reviews, feedback sessions, and standups during required overlap hours.