Materials Science Analyst

Gramian Consulting Group • Materials Science & Nanotechnology • Professional Services • Master's Degree • Python • 1 day ago
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Gramian Consulting Group

Gramian Consulting Group is an international management and technology consulting firm based in Los Angeles, California. The firm provides executive-level advisory services, digital transformation strategy, software engineering, and corporate restructuring for middle-market and enterprise clients across diverse industries. By combining high-level strategic planning with hands-on technology execution, the company helps client organizations modernize their operations, optimize revenue models, and scale business growth efficiently.
gramianconsultinggroup.com • HQ: Los Angeles, United States • Professional Services • 1001-5000 employees

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

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: Freelance / Contractor

COMMITMENT: Full-time commitment; overlap requirements to be confirmed

LOCATIONS: Remote; eligible locations to be confirmed

PROCESS: Not specified

Requirements

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.

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