Semiconductor Material Science (Masters/PhDs)

Alignerr Corp.; Sydney; On-site; AUD 83,000 - 165,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Freelance autonomy

Job summary

Alignerr is seeking a Semiconductor Materials Science Expert to train AI systems in materials science contexts. Masters or PhD required, deep expertise in semiconductor materials or molecular modelling, and proficiency in Python or MATLAB.

Work is fully remote on an hourly contract (10-40 hours/week). You will develop, solve, and review advanced problems that help AI reason like a scientist, collaborating asynchronously with AI researchers.

Qualifications

• Masters or PhD in Material Science or closely related field.
• Deep expertise in semiconductor materials, molecular modelling, or adjacent disciplines.
• Proficient in Python or MATLAB, research experience a plus.
• Exceptional written communicator with precision and clarity.
• Detail-oriented, self-directed, and capable of async work.
• Fluent in English.

Responsibilities

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

Skills

Python

MATLAB

Scientific writing

English proficiency

Education

Master's degree in Materials Science

PhD in Materials Science

Job description

Semiconductor Material Science Expert (AI Training)

About The Role

What if your deep knowledge of semiconductor materials or molecular modelling 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 modelling, 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 modelling, 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