Material Science Expert (Masters/PhDs)

About The Role

We're looking for Materials Science experts — Masters and PhD holders — to tackle advanced scientific problems that train the next generation of AI models to think like domain specialists. This is a fully remote, flexible contract role built for researchers and scientists who want to apply their expertise beyond the lab. No prior AI experience needed — just rigorous scientific knowledge and a sharp eye for quality.

What You'll Do

• Develop, solve, and review advanced material science problems with real-world scientific relevance
• Design complex, nuanced problem statements drawing on expertise in semiconductor materials, molecular modeling, or related areas
• Evaluate AI-generated scientific reasoning for accuracy, rigor, and depth
• Collaborate asynchronously with AI researchers and fellow domain experts to push the frontier of AI scientific understanding
• Ensure all deliverables meet high standards of scientific clarity and correctness
• Work independently on task-based assignments — fully on your own schedule

Who You Are

• Master's or PhD in Materials Science or a closely related field
• Strong expertise in semiconductor materials, molecular modeling, or adjacent research areas
• Comfortable coding in Python or MATLAB for research or problem-solving tasks
• Naturally rigorous — you care about getting the science right and communicating it clearly
• Exceptional written English communication skills with sharp attention to detail
• Currently based in the U.S., Canada, U.K., Australia, or New Zealand

Nice to Have

• Prior experience with data annotation, data quality assessment, or evaluation systems
• Background in AI or machine learning research
• Experience writing technical content, research papers, or scientific documentation
• Familiarity with computational materials science tools or simulation software

Why Join Us

• Work on cutting-edge AI projects alongside leading AI research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based scientific work
• Make a direct, tangible impact on how AI understands materials science at a fundamental level
• Potential for ongoing work and contract extension as new projects launch