Material Science Specialist (Masters/PhDs)

Alignerr Corp.

India

Remote

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

Part time

37 hours ago
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Benefits offered by this job

Fully remote
Freelance autonomy
Ongoing project work

Job summary

Alignerr is seeking a Materials Science Specialist to help train AI models on semiconductor materials and molecular modeling. This remote, hourly contract role requires a PhD or Master's in Materials Science and strong coding skills in Python or MATLAB. You will review complex problems and collaborate with AI researchers to ensure scientific accuracy.

Ideal candidates are fluent in English, detail-oriented, and able to work independently on schedule, with potential for ongoing projects.

Qualifications

  • Master's or PhD in Materials Science or closely related discipline.
  • Strong expertise in semiconductor materials, molecular modeling, or adjacent research areas.
  • Comfortable coding in Python or MATLAB for research or analytical tasks.
  • Exceptionally clear written communicator.
  • Detail-oriented and methodical with a drive for scientific accuracy.
  • Fluent in English.

Responsibilities

  • Develop, solve, and critically review advanced materials science problems with real-world relevance.
  • Apply deep expertise in semiconductor materials, molecular modeling, or related specialisms to design complex, high-quality problem sets.
  • Collaborate asynchronously with AI researchers and fellow domain experts to enhance AI model reasoning and scientific accuracy.
  • Evaluate AI-generated scientific content for rigor, clarity, and depth.
  • Ensure all deliverables meet the highest standards of scientific quality.
  • Work independently on task-based assignments — fully on your own schedule.

Skills

Python
MATLAB
Strong written communication

Education

Master's or PhD in Materials Science

Tools

Python
MATLAB

Job description

Material Science Specialist (AI Training)
About The Role

What if your deep expertise in materials science could directly shape how AI reasons through some of the most complex problems in modern science? We're looking for Materials Science specialists — Masters and PhD holders — to work with leading AI research teams, helping build and refine AI models that can think rigorously about semiconductor materials, molecular modeling, and beyond.

  • 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 relevance
  • Apply deep expertise in semiconductor materials, molecular modeling, or related specialisms to design complex, high-quality problem sets
  • Collaborate asynchronously with AI researchers and fellow domain experts to enhance AI model reasoning and scientific accuracy
  • Evaluate AI-generated scientific content for rigor, clarity, and depth
  • Ensure all deliverables meet the highest standards of scientific quality
  • 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 discipline
  • Strong expertise in semiconductor materials, molecular modeling, or adjacent research areas
  • Comfortable coding in Python or MATLAB for research or analytical tasks
  • Exceptionally clear written communicator — you can explain complex science without losing precision
  • Detail-oriented and methodical, with a natural drive for scientific accuracy
  • Fluent in English
Nice to Have
  • Prior experience with data annotation, data quality evaluation, or AI training workflows
  • Background in applied research, industry R&D, or academic publication
  • Familiarity with AI tools or scientific evaluation platforms
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, intellectually stimulating work
  • Make a direct, tangible impact on how AI understands and reasons about materials science
  • Potential for ongoing work and contract extension as new projects launch
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