Remote Materials Scientist AI & Semiconductors

Position: Remote Materials Scientist for AI & Semiconductors

What if your deep expertise in material 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 holders — to help train and evaluate cutting-edge AI models on some of the most technically demanding problems in science.

About

The Role

This is a fully remote, flexible contract role built for researchers and domain experts who want to put their knowledge to work in a new and high-impact way. No AI background needed — your scientific expertise is what matters.

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

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 domains to design complex, rigorous problem sets
• Evaluate AI-generated scientific reasoning for accuracy, depth, and logical coherence
• Collaborate asynchronously with AI researchers and fellow domain experts to strengthen model performance
• Ensure scientific rigor, clarity, and precision across all deliverables
• Work independently on task-based assignments — fully on your own schedule

Who You Are

• Master's or PhD in Material Science or a closely related field
• Strong expertise in semiconductor materials, molecular modeling, or adjacent areas
• Comfortable coding in Python or MATLAB for research or applied projects
• Naturally detail-oriented with a rigorous, methodical approach to scientific problems
• Clear and precise written communicator — you can explain complex concepts without sacrificing accuracy
• Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand

Nice to Have

• Experience with data annotation, data quality review, or AI evaluation workflows
• Background in computational materials science or simulation-based research
• Familiarity with AI tools or scientific benchmarking as an end user
• Prior experience reviewing or peer-editing technical scientific content

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based scientific work
• Contribute directly to AI systems that need to reason about the physical world at a research level
• Potential for ongoing work and contract extension as new projects launch