Material Science Specialist (Masters/PhDs)

About the Role

What if your deep expertise in materials science could directly shape how AI reasons about semiconductors, molecular structures, and the physical world? We're looking for Materials Science specialists — Masters and PhD level — to work with leading AI research teams, helping build models that genuinely understand complex scientific concepts.

What You'll Do

• Develop, solve, and review advanced materials science problems with real-world scientific relevance
• Apply your expertise in semiconductor materials, molecular modeling, or related domains to design and evaluate complex problem statements
• Assess the quality, rigor, and accuracy of AI-generated scientific content and reasoning
• Collaborate asynchronously with AI researchers and domain experts to strengthen model performance
• Ensure scientific clarity, depth, and accuracy across all deliverables
• Work independently on task-based assignments at your own pace

Who You Are

• Master's or PhD in Materials Science, or a closely related field
• Deep expertise in semiconductor materials, molecular modeling, or adjacent areas
• Comfortable coding in Python or MATLAB for research or analytical tasks
• Naturally detail-oriented with high standards for scientific precision
• Strong written communicator — able to explain complex concepts clearly and concisely
• Fully fluent in English

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Background in computational materials science or simulation-based research
• Experience peer-reviewing scientific work or writing technical documentation
• Familiarity with AI tools or machine learning concepts as an end user

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs and scientists
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based work
• Contribute to AI development that advances scientific reasoning at a global scale
• Potential for ongoing work and contract extension as new projects launch