Alignerr
Material Science Expert (Masters/PhDs)
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Material Science Expert (Masters/PhDs)
Material Science Expert (AI Training)
About The Role
What if your deep expertise in materials science could directly shape how AI reasons about semiconductors, molecular systems, and the physical world? We're looking for Materials Science experts—Masters and PhD holders—to help train and evaluate cutting-edge AI models on some of the most technically demanding problems in the field.
This is a fully remote, flexible contract role. No prior AI experience needed—just rigorous scientific knowledge, a sharp analytical mind, and the ability to communicate complex ideas with clarity.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You’ll Do
- Develop, solve, and critically review advanced materials science problems with real-world scientific relevance
- Apply your expertise in semiconductor materials, molecular modeling, or related specialisms to design rich, complex problem statements
- Evaluate AI-generated scientific reasoning for accuracy, depth, and rigor
- Collaborate asynchronously with AI researchers and fellow domain experts to improve model performance
- Ensure scientific clarity, precision, and intellectual integrity across all deliverables
- Work independently on task-based assignments fully on your own schedule
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Who You Are
- Master’s or PhD in Materials Science or a closely related discipline
- Strong expertise in semiconductor materials, molecular modeling, or adjacent areas of materials research
- Comfortable coding in Python or MATLAB—whether for research, simulation, or data analysis
- Exceptional written communicator who can translate complex science into clear, structured language
- Detail-oriented and rigorous—you hold your work to a high scientific standard
- Self-motivated and reliable when working independently without supervision
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Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Background in computational materials science, density functional theory, or materials characterization
- Experience reviewing or publishing scientific work in peer-reviewed settings
- Familiarity with AI tools or large language models as an end user
Why Join Us
- 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, intellectually engaging work
- Put your advanced degree and specialist knowledge to direct, measurable use
- Contribute to AI development that advances scientific reasoning at a global scale
- Potential for ongoing work and contract extension as new projects launch
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