Live opening · Posted 2 days ago

Material Science Expert (Masters/PhDs)

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

The key details from the original listing.

Posted 2 days ago
CompanyAlignerr
LocationDelhi, Delhi, India (Remote)
Salary$75/hr - $90/hr
Work modeYes
SkillsPython
SourceLinkedin
ListedPosted 2 days ago

About the role

Description supplied by the original job listing.

Material Science Expert (AI Training)
About The Role
What if your deep knowledge of semiconductor materials or molecular modeling could directly shape how AI reasons through the hardest problems in materials science? We're looking for Materials Science experts — Masters and PhD holders — to work alongside leading AI research teams, helping build AI models that can think and solve problems at an expert level.
This is a fully remote, flexible contract role. No prior AI experience needed — just rigorous scientific expertise and a passion for applying it to something genuinely new.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Develop, solve, and review advanced materials science problems with real-world scientific relevance
Apply your expertise in semiconductor materials, molecular modeling, or related areas to design complex, high-quality problem statements
Evaluate AI-generated scientific reasoning and outputs for accuracy, depth, and rigor
Collaborate asynchronously with AI researchers and fellow domain experts to improve model reasoning
Ensure scientific clarity and precision across all deliverables
Work 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 domain expertise in semiconductor materials, molecular modeling, or equivalent specializations
Comfortable coding in Python or MATLAB for research or technical problem-solving
Exceptional written and verbal communication skills with strong attention to scientific detail
Self-motivated and reliable 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, evaluation systems, or data quality workflows
Background in academic research, applied materials engineering, or industrial R&D
Familiarity with AI tools or model evaluation platforms
Experience working across interdisciplinary scientific teams
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 materials science
Contribute to AI development that could accelerate real-world scientific discovery
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes

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