Semiconductor Material Science (Masters/PhDs)

Alignerr Corp.; City of Melbourne; Remote; AUD 83,000 - 165,000; Full time

Job summary

Alignerr Corp. is seeking a Semiconductor Material Science Expert (AI Training) to shape how AI reasons about physical world problems. Masters/PhD in Material Science or related field required, with deep expertise in semiconductor materials or molecular modeling.

Remote, hourly commitment 10–40 hours per week, flexible schedule and independent task work. You will collaborate with AI researchers to design complex problem statements and evaluate AI-generated scientific content for rigor and

Qualifications

• Masters or PhD in Material Science or closely related field.
• Deep expertise in semiconductor materials, molecular modeling, or adjacent specializations.
• Fluent in English and able to communicate complex concepts clearly in writing.

Responsibilities

• Develop, solve, and review advanced material science problems with real-world relevance.
• Apply semiconductor materials or molecular modeling to design rigorous problem statements.
• Collaborate asynchronously with AI researchers to strengthen model reasoning.
• Evaluate AI-generated scientific content for accuracy, depth, and methodological soundness.
• Ensure scientific rigor, clarity, and precision across all deliverables.
• Complete task-based assignments independently on your own schedule.

Skills

Semiconductor materials

Molecular modeling

Python

MATLAB

Technical writing

Education

Master/PhD in Material Science

Job description

Semiconductor Material Science Expert (AI Training)

About The Role

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 help train and evaluate cutting‑edge AI models on advanced scientific problems.

• 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 scientific relevance
• Apply your expertise in semiconductor materials, molecular modeling, or related domains to design complex, rigorous problem statements
• Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning
• Evaluate AI-generated scientific content for accuracy, depth, and methodological soundness
• Ensure scientific rigor, clarity, and precision across all deliverables
• Complete task-based assignments independently on your own schedule

Who You Are

• Master's or PhD in Material Science or a closely related field
• Deep expertise in semiconductor materials, molecular modeling, or adjacent specializations
• Comfortable coding in Python or MATLAB for research or technical applications
• Naturally detail-oriented with a systematic, rigorous approach to scientific problems
• Strong written communicator — you can explain complex concepts clearly and precisely
• Fluent in English

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Background in computational materials science, thin films, nanomaterials, or device physics
• Experience reviewing or grading advanced scientific work
• Familiarity with AI tools or evaluation platforms as an end user

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 scientific work
• Apply your advanced degree to a domain that's actively shaping the future of technology
• Potential for ongoing work and contract extension as new projects launch