More jobs:
Semiconductor Material Science; Masters/PhDs
Job in
Chicago, Cook County, Illinois, 60601, USA
Listed on 2026-10-27
Listing for:
Alignerr Corp.
Full Time
position Listed on 2026-10-27
Job specializations:
-
Research/Development
AI Evaluation, AI Business & Operations
Job Description & How to Apply Below
Semiconductor Material Science Expert (AI Training)
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 tackle advanced problems that push AI to think more like a domain expert.
This is a fully remote, flexible contract role designed to fit around your schedule. You'll work asynchronously alongside AI researchers, applying your scientific knowledge where it matters most: at the frontier of AI development.
AboutThe Role
- Organization:
Alignerr - Type:
Hourly Contract - Location:
Remote - Commitment: 10-40 hours/week
- Develop, solve, and critically review advanced material science problems with real-world relevance
- Apply your expertise in semiconductor materials, molecular modeling, or related areas to design complex, nuanced problem statements
- Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning
- Evaluate the scientific rigor, accuracy, and clarity of AI-generated outputs in your area of expertise
- Ensure depth and precision across all deliverables - your standards set the bar
- Master's or PhD in Material Science, Materials Engineering, or a closely related field
- Strong expertise in semiconductor materials, molecular modeling, or adjacent research areas
- Proficient in Python or MATLAB for research applications or technical problem-solving
- Exceptionally clear written communicator - you can explain complex concepts with precision
- Detail-oriented, self-directed, and comfortable working independently in an asynchronous environment
- Fluent in English
- Prior experience with data annotation, data quality assurance, or AI evaluation workflows
- Background in computational materials science, surface science, or nanomaterials
- Familiarity with AI tools or machine learning concepts as they relate to materials research
- Published research or industry experience in semiconductor or materials-focused roles
- 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, task-based 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
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