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 about the physical world? We're looking for Material Science specialists — Masters and PhD holders — to work alongside world-leading AI research teams, helping train cutting-edge models to think more rigorously about advanced materials science.
This is a fully remote, flexible contract role built for researchers and domain experts who want to apply their knowledge to one of the most consequential technology challenges of our time. 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 material science problems with real-world scientific relevance
Apply your expertise in semiconductor materials, molecular modeling, or related disciplines to design complex, rigorous problem statements
Evaluate AI-generated responses for scientific accuracy, depth, and reasoning quality
Collaborate asynchronously with AI researchers and fellow domain experts to enhance model reasoning capabilities
Ensure scientific rigor, clarity, and depth 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
Deep expertise in semiconductor materials, molecular modeling, or adjacent research areas
Comfortable coding in Python or MATLAB for research or technical problem-solving
Exceptionally clear written communicator — you can translate complex science into precise, structured language
Detail-oriented and rigorous, with high standards for scientific accuracy
Fluent in English
Nice to Have
Prior experience with data annotation, data quality review, or AI evaluation workflows
Background in applied semiconductor research, materials characterization, or computational materials science
Experience writing technical documentation, research papers, or structured problem sets
Familiarity with AI tools or large language models as an end user
Why Join Us
Work on cutting-edge AI projects alongside leading AI research labs
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, task-based work
Apply your advanced scientific expertise to problems that directly shape the future of AI reasoning
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes