Material Science Specialist (Masters/PhDs)

What You'll Do

• Develop, solve, and review advanced material science problems with real-world scientific relevance.
• Apply your expertise in semiconductor materials, molecular modeling, or related specialisms to design challenging, rigorous problem sets.
• Evaluate AI-generated solutions for scientific accuracy, depth, and reasoning quality.
• Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model performance.
• Ensure scientific rigor, clarity, and precision across all deliverables.
• Complete task-based assignments independently on your own schedule.

Who You Are

• Master's or PhD in Material Science or a closely related discipline.
• Deep expertise in semiconductor materials, molecular modeling, or adjacent research areas.
• Comfortable coding in Python or MATLAB — research or project experience counts.
• Naturally detail-oriented with strong scientific communication skills, both written and verbal.
• Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand.
• No prior AI or machine learning experience required — full training support provided.
• Nice to have:
• Prior experience with data annotation, data quality review, or evaluation systems.
• Background in applied materials research, industry R&D, or academic publishing.
• Familiarity with AI tools or technical evaluation workflows.