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Material Science Expert (Masters/PhDs)
Job summary
A forward-thinking AI partnership firm is seeking a Material Science Expert to develop and solve advanced material science problems. This fully remote role requires a Master’s or PhD in Material Science and experience with Python or MATLAB. The candidate should have strong expertise in semiconductor materials and excellent communication skills. Flexibility in hours (10-40 per week) and competitive compensation of $75–$90/hr is offered.
Qualifications
- 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.
- Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia.
Responsibilities
- Develop, solve, and review advanced material science problems.
- Apply expertise to design complex problem statements.
- Collaborate asynchronously with AI researchers.
- Ensure scientific rigor and clarity across deliverables.
Skills
Education
Tools
- 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.