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Semiconductor Material Science; Masters​/PhDs

Job in 110006, Delhi, Delhi, India
Listing for: alignerr
Full Time position
Listed on 2026-06-03
Job specializations:
  • Research/Development
    Artificial Intelligence, Data Scientist
  • IT/Tech
    Artificial Intelligence, Data Scientist
Job Description & How to Apply Below
Position: Semiconductor Material Science (Masters/PhDs)
Semiconductor Material Science Expert (AI Training)

About

The Role

What if your deep expertise in semiconductor materials or molecular modeling could directly shape how AI reasons through some of the most complex problems in modern science We're looking for Material Science experts — Masters and PhD holders — to help train and evaluate cutting-edge AI models on advanced scientific problems with real-world relevance.

This is a fully remote, flexible contract role built for specialists who want to do meaningful, intellectually engaging work on their own schedule. Full training support is provided — no prior AI experience needed.

Organization:
Alignerr
Type:
Hourly Contract

Location:

Remote
Commitment: 10–40 hours/week

What You'll Do

Develop, solve, and review advanced material science problems grounded in real-world applications
Apply your expertise in semiconductor materials, molecular modeling, or related domains to design rigorous, complex problem statements
Collaborate asynchronously with AI researchers and fellow domain experts to sharpen AI model reasoning
Evaluate AI-generated scientific outputs for accuracy, depth, and methodological soundness
Ensure scientific rigor, clarity, and quality 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 adjacent specializations
Comfortable coding in Python or MATLAB for research or applied projects
Exceptionally clear written and verbal communicator with sharp attention to detail
Self-motivated and consistent when working independently
Based in the U.S., Canada, U.K., Australia, or New Zealand

Nice to Have

Prior experience with data annotation, data quality review, or AI evaluation workflows
Familiarity with AI tools or scientific benchmarking systems
Background in applied or computational materials research

Why Join Us

Work on cutting-edge AI projects alongside world-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
Apply your advanced expertise to problems that push the boundaries of what AI can understand
Potential for ongoing work and contract extension as new projects launch
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