Semiconductor Material Science (España)

Semiconductor Material Science (España)

02 oct
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Alignerr
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España

02 oct

Alignerr

España

Semiconductor Material Science Expert (AI Training)
What if your deep expertise in semiconductor materials or molecular modeling could directly shape how AI reasons through the most complex problems in materials science? We're looking for advanced-degree specialists to work alongside cutting-edge AI research teams — helping build AI models that genuinely understand the science behind next-generation materials.
This is a fully remote, versátil contract role. No prior AI experience needed — just rigorous domain expertise and a passion for scientific precision.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week

What You'll Do
- Develop, solve, and review advanced material science problems with real-world relevance and scientific depth
- Apply your expertise in semiconductor materials, molecular modeling, or related areas to design complex, high-quality problem statements
- Evaluate AI-generated responses for scientific accuracy, rigor, and reasoning quality




- Collaborate asynchronously with AI researchers and fellow domain experts to enhance model reasoning capabilities
- Ensure clarity, depth, and scientific integrity across all deliverables
- Work independently on task-based assignments — fully on your own schedule

Who You Are
- Holds a Master's or PhD in Material Science or a closely related field
- Strong expertise in semiconductor materials, molecular modeling, or adjacent research areas
- Comfortable coding in Python or MATLAB — from research applications to simulation workflows
- Exceptional written communicator with sharp attention to detail
- Self-motivated and reliable when working independently without supervision
- Fluent in English

Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Background in computational materials science or quantum chemistry
- Experience translating complex technical concepts into clear, structured written content
- Familiarity w

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