Live opening · Posted 15 hours ago

Material Science Specialist (Masters/PhDs)

Alignerr · Vancouver, BC (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 15 hours ago
CompanyAlignerr
LocationVancouver, BC (Remote)
Salary$75/hr - $90/hr
Work modeYes
SkillsPython
SourceLinkedin
ListedPosted 15 hours ago

About the role

Description supplied by the original job listing.

Material Science Specialist (AI Training)
About The Role
What if your deep expertise in semiconductor materials or molecular modeling could directly shape how AI reasons about the physical world? We're looking for Materials Science specialists — Masters and PhD holders — to work with cutting-edge AI research teams, helping build models that genuinely understand advanced scientific concepts.
This is a fully remote, flexible contract role built for researchers and domain experts who want to put their knowledge to work beyond the lab — on a schedule that fits their life.
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 scientific relevance
Apply your expertise in semiconductor materials, molecular modeling, or related domains to design complex, rigorous problem statements
Collaborate asynchronously with AI researchers and fellow domain experts to sharpen AI model reasoning in your field
Ensure scientific accuracy, clarity, and depth across all deliverables
Help push the frontier of what AI understands about materials science
Who You Are
Holds a Master's or PhD in Material Science or a closely related discipline
Deep expertise in semiconductor materials, molecular modeling, or adjacent areas
Comfortable coding in Python or MATLAB — whether from research, coursework, or projects
Exceptional written communicator who can translate complex science into clear, structured content
Detail-oriented and rigorous — you hold your work to a high standard
Currently based in the U.S., Canada, U.K., Australia, or New Zealand
Nice to Have
Prior experience with data annotation, data quality, or AI evaluation workflows
Background in computational materials science or simulation-based research
Familiarity with scientific communication or peer review processes
Why Join Us
Work on genuinely cutting-edge AI projects alongside world-leading research labs
Fully remote and asynchronous — work when and where it suits you
Freelance autonomy with the structure of meaningful, impactful work
Make a direct, lasting contribution to how AI understands materials science
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes

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