Material Science Expert
Alignerr
Job Overview
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Job Description
About the Material Science Expert Role at Alignerr
At Alignerr, we collaborate with leading AI research teams to develop and train advanced AI models. This Material Science Expert role is an hourly contract position, requiring 10-40 hours per week, with compensation ranging from $75 to $90 per hour. This is a fully remote opportunity.
Role Responsibilities
- 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.
Requirements
- 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.
Preferred Qualifications
- Prior experience with data annotation, data quality, or evaluation systems.
Application Process
The application process takes approximately 15-20 minutes and involves submitting your resume, completing a short screening, and then proceeding to project matching and onboarding. Our team reviews applications daily, so please complete your AI interview and application steps promptly for consideration.
Key skills/competency
- Material Science
- Semiconductor Materials
- Molecular Modeling
- Python
- MATLAB
- AI Model Training
- Problem Solving
- Scientific Research
- Technical Communication
- Data Annotation
How to Get Hired at Alignerr
- Research Alignerr's vision: Study their mission in AI model development and commitment to scientific rigor.
- Tailor your resume: Highlight material science expertise, Python/MATLAB skills, and AI research relevance.
- Showcase problem-solving: Prepare examples of complex material science problems you've solved or designed.
- Emphasize communication: Be ready to demonstrate strong written and verbal communication skills during screening.
- Prepare for AI interview: Practice explaining technical concepts clearly for the AI-driven application steps.
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