Semiconductor Material Science (Masters/PhDs)

Alignerr

India

Remote

INR 2,066,000 - 4,822,000

Part time

2 days ago
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Benefits offered by this job

Fully remote
Flexible schedule
Contract-based work

Job summary

Alignerr seeks a Semiconductor Material Science Expert (AI Training) to join its remote, flexible contracting team. Masters/PhD holders will apply deep knowledge of semiconductor materials and molecular modeling to train AI models with rigorous scientific reasoning.

You will review AI outputs for scientific accuracy, collaborate asynchronously with AI researchers, and work on a schedule that fits your availability (10–40 hours/week). Excellent English communication is required.

Qualifications

  • Master's or PhD in Material Science or closely related field.
  • Deep expertise in semiconductor materials or molecular modeling.
  • Fluent in English and able to communicate complex science clearly.

Responsibilities

  • Develop, solve, and review advanced material science problems related to AI training.
  • Apply expertise in semiconductor materials or molecular modeling to design rigorous problem statements.
  • Evaluate AI-generated scientific responses for accuracy and depth.
  • Collaborate asynchronously with AI researchers and domain experts to enhance model reasoning.

Education

Master's in Material Science
PhD in Material Science

Tools

Python
MATLAB

Job description

Semiconductor Material Science Expert (AI Training)

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 Material Science specialists - Masters and PhD holders - to work alongside world-leading AI research teams, helping train cutting-edge models to think more rigorously about advanced materials science.

About The Role

This is a fully remote, flexible contract role built for researchers and domain experts who want to apply their knowledge to one of the most consequential technology challenges of our time. No prior AI experience needed - your scientific expertise is what matters.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10-40 hours/week
What You\u2019\u2019l 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 disciplines to design complex, rigorous problem statements
  • Evaluate AI-generated responses for scientific accuracy, depth, and reasoning quality
  • Collaborate asynchronously with AI researchers and fellow domain experts to enhance model reasoning capabilities
  • Ensure scientific rigor, clarity, and depth 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
  • Deep expertise in semiconductor materials, molecular modeling, or adjacent research areas
  • Comfortable coding in Python or MATLAB for research or technical problem-solving
  • Exceptionally clear written communicator - you can translate complex science into precise, structured language
  • Detail-oriented and rigorous, with high standards for scientific accuracy
  • Fluent in English
Nice to Have
  • Prior experience with data annotation, data quality review, or AI evaluation workflows
  • Background in applied semiconductor research, materials characterization, or computational materials science
  • Experience writing technical documentation, research papers, or structured problem sets
  • Familiarity with AI tools or large language models as an end user
Why Join Us
  • Work on cutting-edge AI projects alongside leading AI research labs
  • Fully remote and flexible - work when and where it suits you
  • Freelance autonomy with the structure of meaningful, task-based work
  • Apply your advanced scientific expertise to problems that directly shape the future of AI reasoning
  • Potential for ongoing work and contract extension as new projects launch
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