Semiconductor Material Science (Masters/PhDs)

Alignerr; United States; Remote; MXN 258,000 - 1,031,000; Part time

Job summary

Alignerr is seeking a Semiconductor Material Science Expert to contribute to AI training by applying deep knowledge of semiconductor materials and molecular modeling. This remote hourly contract role fits around your schedule, with 10–40 hours per week and asynchronous collaboration with AI researchers.

You will develop and review advanced material science problems, design nuanced problem statements, and evaluate AI-generated outputs for rigor and clarity, helping AI reason more like a domain

Qualifications

• Master's or PhD in Material Science, Materials Engineering, or a closely related field.
• Strong expertise in semiconductor materials or molecular modeling.
• Proficient in Python or MATLAB for research applications.
• Excellent written communication and ability to explain complex concepts clearly.
• Self-directed and comfortable working asynchronously.

Responsibilities

• Develop, solve, and critically review advanced material science problems with real-world relevance
• Apply expertise in semiconductor materials, molecular modeling, or related areas to design complex, nuanced problem statements
• Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning
• Evaluate the scientific rigor, accuracy, and clarity of AI-generated outputs in your area of expertise
• Ensure depth and precision across all deliverables — your standards set the bar

Skills

Semiconductor materials

Molecular modeling

English fluency

Education

Master's or PhD in Material Science/Materials Engineering

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 tackle advanced problems that push AI to think more like a domain expert.

This is a fully remote, flexible contract role designed to fit around your schedule. You'll work asynchronously alongside AI researchers, applying your scientific knowledge where it matters most: at the frontier of AI development.

• 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 relevance
• Apply your expertise in semiconductor materials, molecular modeling, or related areas to design complex, nuanced problem statements
• Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning
• Evaluate the scientific rigor, accuracy, and clarity of AI-generated outputs in your area of expertise
• Ensure depth and precision across all deliverables — your standards set the bar

Who You Are

• Master's or PhD in Material Science, Materials Engineering, or a closely related field
• Strong expertise in semiconductor materials, molecular modeling, or adjacent research areas
• Proficient in Python or MATLAB for research applications or technical problem-solving
• Exceptionally clear written communicator — you can explain complex concepts with precision
• Detail-oriented, self-directed, and comfortable working independently in an asynchronous environment
• Fluent in English

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation workflows
• Background in computational materials science — …? …
• Familiarity … …….. file ?
• Published research or industry experience in semiconductor or materials-focused roles

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs and AI teams
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based work
• Make a direct, tangible impact on how AI understands and reasons about materials science
• Training and onboarding support provided — hit the ground running from day one
• Potential for ongoing work and contract extension as new projects launch