Live opening · Posted 27 days ago

Material Science Expert (Masters/PhDs)

Alignerr · Mumbai, Maharashtra, India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 27 days ago
CompanyAlignerr
LocationMumbai, Maharashtra, India (Remote)
Salary$75/hr - $90/hr
Work modeYes
SkillsPython
SourceLinkedin
ListedPosted 27 days ago

About the role

Description supplied by the original job listing.

Material Science Expert (AI Training)
About The Role
What if your years of advanced study in material science could directly shape how AI reasons about semiconductors, molecular structures, and the physical world? We're looking for Material Science experts — Masters and PhD holders — to help train and evaluate cutting-edge AI models, ensuring they think with the depth and rigor of a real domain specialist.
This is a fully remote, flexible contract role built for researchers and scientists who want to put their expertise to work in a meaningful new way. No AI background needed — your deep knowledge of materials is exactly what we're looking for.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Develop, solve, and critically review advanced material science problems with real-world relevance
Apply your expertise in semiconductor materials, molecular modeling, or related disciplines to design complex, rigorous problem statements
Evaluate AI-generated scientific reasoning for accuracy, depth, and technical soundness
Collaborate asynchronously with AI researchers and fellow domain experts to strengthen model performance
Ensure scientific clarity, rigor, and precision across all deliverables
Work independently on task-based assignments — fully on your own schedule
Who You Are
Master's or PhD in Material Science or a closely related field
Strong expertise in semiconductor materials, molecular modeling, or a related specialization
Comfortable coding in Python or MATLAB for research or applied projects
Exceptionally clear written communicator with sharp attention to detail
Self-motivated and consistent when working independently
Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand
Nice to Have
Prior experience with data annotation, data quality evaluation, or AI training workflows
Background spanning multiple material science sub-disciplines
Experience reviewing or peer-evaluating scientific work
Familiarity with AI tools or technical evaluation platforms
Why Join Us
Work on cutting-edge AI projects alongside leading research labs and AI teams
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 and reasons about the physical world
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes

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