Materials Science Analyst

🔥 15 hours ago

🌐 Bangladesh, Brazil, +4 more countries – Remote

🇧🇩 Bangladesh – Remote 🇧🇷 Brazil – Remote 🇨🇴 Colombia – Remote 🇪🇬 Egypt – Remote 🇬🇭 Ghana – Remote 🇮🇳 India – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🧐 Analyst

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gramian Consulting

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• 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

🎯 Requirements

• Experience in materials science and scientific computing is required for the role's scope • Python-based scientific computing • Ability to design scientific coding tasks with one main problem and at least 3 logically connected sub-problems • Ability to implement verified Python solutions with complete unit test coverage • Ability to create discriminative test cases for AI-generated outputs • Experience performing quality control checks using the Central Task Platform (CTP), including Tier 1 structure checks and Tier 2 quality rubrics • Ability to optimize tasks against Pass@K evaluation criteria across GPT, Gemini, and Nemotron judges • Ability to validate scientific correctness, determinism, well-posedness, and expected outputs • Ability to participate in project reviews, feedback sessions, and standups during required overlap hours