Live opening · Posted 22 hours ago

Material Science Specialist (Masters/PhDs)

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

The key details from the original listing.

Posted 22 hours ago
CompanyAlignerr
LocationMumbai, Maharashtra, India (Remote)
Salary$75/hr - $90/hr
Work modeYes
SkillsPython
SourceLinkedin
ListedPosted 22 hours ago

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About the role

Description supplied by the original job listing.

Material Science Specialist (AI Training)
About The Role
What if your deep expertise in materials science could directly shape how AI reasons about semiconductors, molecular structures, and the physical world? We're looking for Materials Science specialists — Masters and PhD-level experts — to work alongside leading AI research teams and help build the next generation of scientifically rigorous AI models.
This is a fully remote, flexible contract role designed for working researchers, postdocs, industry scientists, and academics who want to contribute their expertise to something genuinely groundbreaking — on their own schedule.
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 subfields to craft complex, nuanced problem statements
Evaluate AI-generated reasoning and outputs for scientific accuracy, depth, and rigor
Collaborate asynchronously with AI researchers and fellow domain experts to push the boundaries of what AI can reason about
Ensure clarity, precision, and scientific integrity across all deliverables
Who You Are
Master's or PhD in Materials Science or a closely related discipline
Deep expertise in semiconductor materials, molecular modeling, or adjacent areas
Comfortable coding in Python or MATLAB for research or applied projects
Exceptionally clear written communicator — you can explain complex concepts with precision and accessibility
Detail-oriented, rigorous, and self-directed when working independently
Currently 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 model assessment
Background in computational materials science, DFT, or materials informatics
Experience writing technical documentation, research papers, or peer reviews
Familiarity with AI tools or scientific AI platforms as an end user
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, task-based scientific work
Make a direct, tangible impact on how AI understands and reasons about the material world
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes

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