Semiconductor Material Science (Masters/PhDs)
Job Description
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.
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
- 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
- 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
- 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
- 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
More Info
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Key Skills
data annotation
AI evaluation workflows
density functional theory (DFT)
semiconductor materials
data labeling
About Company