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-level — to help train and evaluate cutting-edge AI models by crafting, solving, and reviewing advanced scientific problems.
This is a fully remote, flexible contract role built for researchers and domain experts who want meaningful, intellectually stimulating work on their own schedule. No prior AI experience required — 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 relevance
- Apply your expertise in semiconductor materials, molecular modeling, or related domains to design complex, rigorous problem statements
- Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning in materials science
- Evaluate AI-generated scientific content for accuracy, depth, and technical rigor
- Ensure clarity and scientific precision across all deliverables
- Work independently on task-based assignments at a pace that suits you
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 areas of materials research
- Proficient in Python or MATLAB for research applications or computational modeling
- Exceptionally detail-oriented with strong written communication skills
- Able to translate complex scientific concepts into clear, structured problem sets
- No prior AI or data annotation experience required
Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Background in computational materials science, density functional theory (DFT), or related simulation methods
- Familiarity with materials databases or scientific literature databases
- Experience collaborating in cross-functional or interdisciplinary research environments
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 scientific work
- Make a direct, tangible impact on how AI understands and reasons about materials science
- Potential for ongoing work and contract extension as new projects launch
- Engage with intellectually stimulating problems that draw on the full depth of your expertise