About the Role Welo Data is seeking experienced linguists to support a synthetic data generation program for a leading technology client.
Material Science Specialist (Masters/PhDs)
Job description
Material Science Specialist (AI Training) - Remote Contract
About the Role
What if your deep expertise in semiconductor materials or molecular modeling could directly shape how the world's most advanced AI systems reason about science? We're looking for Materials Science specialists — Masters and PhD level — to help train and evaluate cutting-edge AI models tackling complex, real-world problems in materials science.
This is a fully remote, flexible contract role built for researchers and domain experts who want to apply their knowledge in a high-impact, forward-looking way — without leaving the lab behind entirely.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Develop, solve, and critically evaluate advanced materials science problems with genuine scientific depth and real-world relevance
- Apply your expertise in semiconductor materials, molecular modeling, or related specialisms to design complex, nuanced problem statements
- Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning in your field
- Ensure scientific rigor, precision, and clarity across all deliverables
- Review and refine AI-generated scientific content — identifying errors, gaps in reasoning, and opportunities to improve technical accuracy
Who You Are
- Holds a Master's or PhD in Materials Science or a closely related discipline from a reputable university
- Strong expertise in semiconductor materials, molecular modeling, or adjacent areas of materials research
- Comfortable coding in Python or MATLAB — from research scripts to simulation tools
- Exceptional written communicator with a sharp eye for scientific detail and clarity
- Self-directed and reliable — you produce high-quality work independently without hand-holding
- Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Background in computational materials science, DFT, or simulation-based research
- Experience writing or reviewing scientific publications, grant proposals, or technical documentation
- Familiarity with AI tools or evaluation platforms as an end user
Why Join Us
- Work on genuinely frontier AI projects alongside world-leading research labs
- Fully remote and asynchronous — work on your schedule, from anywhere
- Freelance autonomy paired with structured, meaningful, task-based work
- Make a direct and lasting impact on how AI understands and reasons about materials science
- Potential for ongoing work and contract extension as new projects launch
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