Semiconductor Material Science (Masters/PhDs)

Alignerr; Sydney; À distance; AUD 83 000 - 131 000; Plein temps

Résumé du poste

Alignerr is seeking a Semiconductor Material Science Expert (AI Training) for a fully remote hourly contract. You will apply deep expertise in semiconductor materials or molecular modeling to craft, solve, and review advanced problems that teach AI to reason like a scientist.

You should hold a Master's or PhD in Materials Science or a related field, be fluent in English, and comfortable working asynchronously with AI researchers on 10–40 hours per week.

Qualifications

• Holds a Master’s or PhD in Materials Science, Materials Engineering, or a closely related field.
• Deep expertise in semiconductor materials, molecular modeling, or adjacent disciplines.
• Proficient in Python or MATLAB for research, coursework, or applied projects.
• Exceptional written communicator who can convey complex concepts with precision.
• Detail-oriented, self-directed, and comfortable working independently in asynchronous environments.

Responsabilités

• Develop, solve, and critically review advanced material science problems with real-world relevance.
• Apply expertise in semiconductor materials, molecular modeling, or related areas to craft complex problem statements.
• Collaborate asynchronously with AI researchers and fellow domain experts to sharpen AI model reasoning.
• Ensure scientific accuracy, depth, and clarity across all deliverables.
• Help set the standard for how AI understands and engages with materials science at a graduate level.

Connaissances

Semiconductor materials expertise

Molecular modeling

Written communication

Formation

Master's or PhD in Materials Science/Materials Engineering or related field

Outils

Python

MATLAB

Description du poste

Semiconductor 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 most complex problems in materials science? We're looking for Masters and PhD-level experts to work alongside leading AI research teams - building, solving, and reviewing advanced problems that teach AI to think like a scientist. This is a fully remote, flexible contract role designed for specialists who want to put their expertise to work on something genuinely new. No prior AI experience needed - just a rigorous scientific mind and a passion for your field.

• 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 craft complex, rigorous problem statements
• Collaborate asynchronously with AI researchers and fellow domain experts to sharpen AI model reasoning
• Ensure scientific accuracy, depth, and clarity across all deliverables
• Help set the standard for how AI understands and engages with materials science at a graduate level

Who You Are

• Holds a Master's or PhD in Material Science, Materials Engineering, or a closely related field
• Deep expertise in semiconductor materials, molecular modeling, or adjacent disciplines
• Proficient in Python or MATLAB - whether from research, coursework, or applied projects
• Exceptional written communicator who can convey complex concepts with precision and clarity
• Detail-oriented, self-directed, and comfortable working independently in an asynchronous environment
• Fluent in English

Nice to Have

• Experience with data annotation, data quality evaluation, or AI training workflows
• Background in computational materials science or quantum chemistry
• Prior work in research environments with a focus on reproducibility and scientific rigor
• Familiarity with AI or machine learning tools as an end user or researcher

Why Join Us

• Work on cutting-edge AI projects alongside the world's 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
• Make a direct, lasting impact on how AI understands advanced scientific domains
• Potential for ongoing work and contract extension as new projects launch