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 Materials Science specialists — Masters and PhD-level — to help train and evaluate cutting-edge AI models on some of the most technically demanding problems in modern science.

This is a fully remote, flexible contract role. No prior AI experience needed — just rigorous domain knowledge and a sharp eye for scientific quality.

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 fields to design complex, high-quality problem statements
Evaluate AI-generated scientific content for accuracy, depth, and technical rigor
Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning
Ensure all deliverables meet high standards of scientific clarity and correctness
Complete task-based assignments independently on your own schedule

Who You Are

Master's or PhD in Materials Science, Applied Physics, Chemical Engineering, or a closely related field
Deep expertise in semiconductor materials, molecular modeling, or adjacent research areas
Proficient in Python or MATLAB for research or technical computation
Rigorous and detail-oriented — you hold your work to a high scientific standard
Clear and effective written communicator capable of explaining complex concepts precisely
Fluent in English

Nice to Have

Prior experience with data annotation, data labeling, or AI evaluation workflows
Background in computational materials science or density functional theory (DFT)
Experience publishing or peer-reviewing scientific work
Familiarity with AI or machine learning tools as an end user

Why Join Us

Work on cutting-edge AI projects alongside world-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
Make a direct impact on how AI understands and reasons about materials science
Potential for ongoing work and contract extension as new projects launch

Semiconductor Material Science (Masters/PhDs)