Material Science Specialist (Masters/PhDs)

Alignerr Corp.; Sydney; Remote; AUD 14,000 - 55,000; Part time

Job summary

Alignerr is seeking a Materials Science Specialist (AI Training) to help train and evaluate AI models on advanced scientific content. Masters and PhDs in Materials Science or related fields are welcome for remote collaboration.

You will develop and review complex materials science problems, apply semiconductor materials or molecular modeling expertise, and assess AI reasoning for accuracy and depth. The role offers flexible, task-based work with 10–40 hours per week.

Qualifications

• Master's or PhD in Materials Science or a closely related discipline.
• Strong domain expertise in semiconductor materials, molecular modeling, or related areas.
• Excellent written communication and scientific rigor.
• Based in the US, Canada, UK, Australia or New Zealand for remote collaboration.

Responsibilities

• Develop and review advanced materials science problems with real-world relevance.
• Craft complex problem statements using semiconductor materials or molecular modeling.
• Evaluate AI-generated scientific reasoning for accuracy and depth.
• Collaborate asynchronously with AI researchers to advance AI scientific reasoning.
• Ensure clarity and rigor across all deliverables.
• Work independently on task-based assignments with flexible scheduling.

Skills

Materials Science expertise

Academic research experience

Detail-oriented

Written communication

Independent work

Education

Master's or PhD in Materials Science or related field

Tools

Python

MATLAB

Job description

Material Science Specialist (AI Training)

About The Role

What if your deep expertise in semiconductor materials or molecular modeling 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 level — to help train and evaluate cutting-edge AI models on advanced scientific content.

• 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 scientific relevance
• Apply your expertise in semiconductor materials, molecular modeling, or related domains to craft complex, high-quality problem statements
• Evaluate AI-generated scientific reasoning and outputs for accuracy, depth, and rigor
• Collaborate asynchronously with AI researchers and fellow domain experts to push the boundaries of AI scientific reasoning
• Ensure scientific clarity, precision, and depth across all deliverables
• 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 domain expertise in semiconductor materials, molecular modeling, or adjacent areas
• Proficient in Python or MATLAB for research or computational work
• Exceptionally detail-oriented with rigorous scientific standards
• Clear and precise written communicator — you can explain complex ideas with confidence
• Currently based in the U.S., Canada, U.K., Australia, or New Zealand
• No prior AI or data annotation experience required — full training support provided

Nice to Have

• Prior experience with data annotation, evaluation frameworks, or AI quality review
• Background in computational materials science, thin films, nanomaterials, or related specializations
• Experience writing or reviewing scientific literature or technical documentation
• 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, intellectually stimulating work
• Apply your scientific expertise to a domain that's actively reshaping the future of technology
• Potential for ongoing work and contract extension as new projects launch