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Semiconductor Material Science (Masters/PhDs)
Zusammenfassung
A leading AI partnership firm seeks a Material Science Expert to work remotely on advanced materials problems. The ideal candidate holds a Master’s or PhD in Material Science, has strong coding skills in Python or MATLAB, and excels in clear communication. The role involves collaborating with AI researchers and solving real-world challenges in material science. Ideal for someone seeking flexible hours in a dynamic environment.
Qualifikationen
- Master’s or PhD in Material Science from a top U.S. university (or equivalent).
- Experience coding in Python or MATLAB for research or projects.
- Strong expertise in semiconductor materials or molecular modeling.
Aufgaben
- Develop, solve, and review advanced material science problems.
- Design complex problem statements using expertise.
- Collaborate asynchronously with AI researchers.
Kenntnisse
Ausbildung
- Location: Remote
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models.
Organization: Alignerr Position: Material Science Expert (Masters/PhDs) Type: Hourly Contract Compensation: $75–$90 /hour Location: Remote Commitment: 10–40 hours/week
- Develop, solve, and review advanced material science problems with real‑world relevance.
- Apply expertise in semiconductor materials, molecular modeling, or related areas to design complex problem statements.
- Collaborate asynchronously with AI researchers and domain experts to enhance AI model reasoning.
- Ensure scientific rigor, clarity, and depth across all deliverables.
- Master’s or PhD in Material Science from a top U.S. university (or equivalent).
- Experience coding in Python or MATLAB for research or projects.
- Strong expertise in semiconductor materials or molecular modeling.
- Exceptional written and verbal communication skills with strong attention to detail.
- Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia.
- Prior experience with data annotation, data quality, or evaluation systems.
- Submit your resume
- Complete a short screening
- Project matching and onboarding
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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