Live opening · Posted 27 days ago

Material Science Expert (Masters/PhDs)

Alignerr · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 27 days ago
CompanyAlignerr
LocationIndia (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 deep expertise in materials science could directly shape how AI reasons through the most complex problems in semiconductor research and molecular modeling? We're looking for Materials Science experts — Masters and PhD level — to help train and evaluate cutting-edge AI models, ensuring they can think, reason, and solve problems the way a world-class scientist would.
This is a fully remote, flexible contract role. No prior AI experience needed — just rigorous scientific expertise and a sharp eye for accuracy and depth.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Develop, solve, and critically review advanced materials science problems with real-world scientific relevance
Apply your expertise in semiconductor materials, molecular modeling, or related disciplines to design complex, challenging problem statements
Evaluate AI-generated scientific reasoning for accuracy, rigor, depth, and clarity
Collaborate asynchronously with AI researchers and domain experts to enhance model performance
Ensure scientific integrity and precision across all deliverables
Complete task-based assignments independently on your own schedule
Who You Are
Master's or PhD in Materials Science or a closely related field from a top university
Strong expertise in semiconductor materials, molecular modeling, or adjacent research areas
Comfortable coding in Python or MATLAB — whether for research, simulation, or data analysis
Exceptionally clear written communicator who can convey complex ideas with precision
Detail-oriented and methodical — you hold your work to a high scientific standard
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 review, or evaluation systems
Background in AI, computational modeling, or materials informatics
Experience writing scientific documentation, peer-reviewed papers, or technical reports
Familiarity with AI tools or research evaluation workflows
Why Join Us
Work on cutting-edge AI projects alongside the world's leading research labs
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, intellectually stimulating work
Put your advanced degree to work on problems that matter — shaping how AI understands science
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes

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