Material Science Expert (Masters/PhDs)

Alignerr Corp.; United States; Remote; USD 55.000 - 110.000; Vollzeit

Zusammenfassung

Alignerr is seeking Materials Science Experts (Masters/PhD) for AI training roles. Remote, hourly contract, 10–40 hours/week. You'll tackle advanced material science problems and design AI-driven tasks leveraging semiconductor materials and molecular modeling.

You should have strong English writing, Python or MATLAB skills, and a rigorous scientific approach. Open to international remote applicants.

Qualifikationen

• Master's or PhD in Materials Science or closely related field.
• Strong expertise in semiconductor materials or molecular modeling.
• Comfortable coding in Python or MATLAB for research tasks.
• Exceptional written English communication with attention to detail.

Aufgaben

• Develop, solve, and review advanced material science problems with real-world relevance.
• Design complex problem statements drawing on semiconductor materials or molecular modeling.
• Evaluate AI-generated scientific reasoning for accuracy and depth.
• Collaborate asynchronously with AI researchers and domain experts.
• Ensure deliverables meet scientific clarity and correctness; work independently on tasks.

Ausbildung

Master's or PhD in Materials Science

Tools

Python

MATLAB

Jobbeschreibung

About The Role What if your deep knowledge of semiconductor materials or molecular modeling could directly shape how AI reasons about the physical world? We're looking for Materials Science experts — Masters and PhD holders — to tackle advanced scientific problems that train the next generation of AI models to think like domain specialists.

Material Science Expert (AI Training)

What if your deep knowledge of semiconductor materials or molecular modeling could directly shape how AI reasons about the physical world? We're looking for Materials Science experts — Masters and PhD holders — to tackle advanced scientific problems that train the next generation of AI models to think like domain specialists. This is a fully remote, flexible contract role built for researchers and scientists who want to apply their expertise beyond the lab. No prior AI experience needed — just rigorous scientific knowledge and a sharp eye for quality.

• 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 scientific relevance
• Design complex, nuanced problem statements drawing on expertise in semiconductor materials, molecular modeling, or related areas
• Evaluate AI-generated scientific reasoning for accuracy, rigor, and depth
• Collaborate asynchronously with AI researchers and fellow domain experts to push the frontier of AI scientific understanding
• Ensure all deliverables meet high standards of scientific clarity and correctnessWork independently on task-based assignments — fully on your own schedule

Who You Are

• Master's or PhD in Materials Science or a closely related field
• Strong expertise in semiconductor materials, molecular modeling, or adjacent research areas
• Comfortable coding in Python or MATLAB for research or problem-solving tasks
• Naturally rigorous — you care about getting the science right and communicating it clearly
• Exceptional written English communication skills with sharp attention to detail
• Currently based in the U.S., Canada, U.K., Australia, or New Zealand

Nice to Have

• Prior experience with data annotation, data quality assessment, or evaluation systems
• Background in AI or machine learning research
• Experience writing technical content, research papers, or scientific documentation
• Familiarity with computational materials science tools or simulation software

Why Join Us

• Work on cutting-edge AI projects alongside leading AI research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based scientific work
• Make a direct, tangible impact on how AI understands materials science at a fundamental level
• Potential for ongoing work and contract extension as new projects launch