Material Science Expert (Masters/PhDs)
Avantages principaux
About the role
Material Science Expert (AI Training)
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 holders — to help train and evaluate cutting-edge AI models on some of the most technically demanding problems in the field.
This is a fully remote, flexible contract role built for researchers and domain experts who want to put their knowledge to work beyond the lab. No prior AI experience 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 critically review advanced materials science problems with real-world scientific relevance Apply your expertise in semiconductor materials, molecular modeling, or related subfields to craft complex, rigorous problem statements Evaluate AI-generated scientific reasoning for accuracy, depth, and methodological soundness Collaborate asynchronously with AI researchers and fellow domain experts to push the boundaries of AI scientific reasoning Ensure scientific rigor, clarity, and precision across all deliverables Work independently on task-based assignments at a pace that suits your schedule
Who You Are
Master's or PhD in Materials Science or a closely related discipline Strong expertise in semiconductor materials, molecular modeling, or adjacent research areas Comfortable coding in Python or MATLAB — research-level experience is ideal Exceptional written communicator who can convey complex scientific ideas with clarity Detail-oriented and methodical — you hold your work to a high standard Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand
Nice to Have
Prior experience with data annotation, data quality review, or AI evaluation workflows Background in computational materials science or atomistic simulation Familiarity with density functional theory (DFT), molecular dynamics, or related techniques Experience translating research findings into clear written documentation for non-specialist audiences
Why Join Us
Work on cutting-edge AI projects alongside leading research labs and AI teams Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, intellectually stimulating work Make a direct, tangible impact on how AI understands and reasons about materials science Training and onboarding support provided — hit the ground running from day one Potential for ongoing work and contract extension as new projects launch