Material Science Expert; Masters/PhDs
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Research/Development
AI Evaluation, Research Scientist, AI Business & Operations
Job Description & How to Apply Below
About The Role What if your deep knowledge of semiconductor materials or molecular modeling could directly shape how AI reasons about the physical world? We're looking for Materials Science experts — Masters and PhD holders — to tackle advanced scientific problems that train the next generation of AI models to think like domain specialists.
Material Science Expert (AI Training)What if your deep knowledge of semiconductor materials or molecular modeling could directly shape how AI reasons about the physical world? We're looking for Materials Science experts — Masters and PhD holders — to tackle advanced scientific problems that train the next generation of AI models to think like domain specialists. This is a fully remote, flexible contract role built for researchers and scientists who want to apply their expertise beyond the lab.
No prior AI experience needed — just rigorous scientific knowledge and a sharp eye for 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
- Design complex, nuanced problem statements drawing on expertise in semiconductor materials, molecular modeling, or related areas
- Evaluate AI-generated scientific reasoning for accuracy, rigor, and depth
- Collaborate asynchronously with AI researchers and fellow domain experts to push the frontier of AI scientific understanding
- Ensure all deliverables meet high standards of scientific clarity and correctness
Work independently on task-based assignments — fully on your own schedule
- Master's or PhD in Materials Science or a closely related field
- Strong expertise in semiconductor materials, molecular modeling, or adjacent research areas
- Comfortable coding in Python or MATLAB for research or problem-solving tasks
- Naturally rigorous — you care about getting the science right and communicating it clearly
- Exceptional written English communication skills with sharp attention to detail
- Currently based in the U.S., Canada, U.K., Australia, or New Zealand
- Prior experience with data annotation, data quality assessment, or evaluation systems
- Background in AI or machine learning research
- Experience writing technical content, research papers, or scientific documentation
- Familiarity with computational materials science tools or simulation software
- 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 scientific work
- Make a direct, tangible impact on how AI understands materials science at a fundamental level
- Potential for ongoing work and contract extension as new projects launch
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