Semiconductor Material Science (Masters/PhDs)

Semiconductor Material Science Expert (AI Training) About The Role What if your deep expertise in semiconductor materials or molecular modeling could directly shape how AI reasons through the most complex problems in materials science? We're looking for Materials Science specialists — Masters and PhD holders — to help train and evaluate cutting-edge AI models, ensuring they think and respond with the rigor and depth that the field demands.

This is a fully remote, flexible contract role built for working researchers, academics, and industry professionals who want to contribute to frontier AI without leaving their area of expertise.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Develop, solve, and critically review advanced material science problems with real-world relevance
• Apply your expertise in semiconductor materials, molecular modeling, or related areas to craft complex, rigorous problem statements
• Evaluate AI-generated scientific reasoning for accuracy, depth, and methodological soundness
• Collaborate asynchronously with AI researchers and domain experts to improve how AI models handle materials science concepts
• Ensure scientific clarity and precision across all deliverables — from problem design to written explanations
• Work independently on task-based assignments at your own pace and schedule

Who You Are

• Holds a Master's or PhD in Material Science, Materials Engineering, or a closely related field from a top-tier university
• Strong expertise in semiconductor materials, molecular modeling, or adjacent research areas
• Comfortable coding in Python or MATLAB for research or applied projects
• Exceptionally clear written communicator who can explain complex concepts with precision
• Detail-oriented and self-directed — you hold your work to a high standard without needing oversight
• Fluent in English

Nice to Have

• Prior experience with data annotation, evaluation systems, or AI training workflows
• Background in computational materials science, DFT, or atomistic simulation
• Experience reviewing or publishing peer-reviewed scientific work
• Familiarity with AI tools or large language model evaluation as an end user

Why Join Us

• Work on frontier AI projects alongside world-leading research labs
• Fully remote and asynchronous — work on your schedule, from anywhere
• Freelance autonomy with the structure of meaningful, intellectually stimulating work
• Make a direct, tangible impact on how AI understands and reasons through materials science
• Potential for ongoing work and contract extension as new projects launch