Semiconductor Material Science Jobs in Vancouver, British Columbia, Canada
Create alert for “Semiconductor Material Science”
Vancouver, British Columbia, Canada
Semiconductor Material Science (Masters/PhDs)
Top Benefits
About the role
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 through some of the most complex problems in modern science? We're looking for Material Science specialists — Masters and PhD holders — to help train and evaluate cutting-edge AI models by crafting, solving, and reviewing advanced technical problems grounded in real-world science.
This is a fully remote, flexible contract role built for researchers and domain experts who want to do meaningful, high-impact work on their own schedule.
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 rigorous, complex problem statements Evaluate AI-generated scientific reasoning for accuracy, depth, and technical correctness Collaborate asynchronously with AI researchers and fellow domain experts to strengthen model performance Ensure scientific rigor, clarity, and precision across every deliverable Work independently on task-based assignments — fully on your own schedule
Who You Are
Master's or PhD in Material Science, or a closely related discipline Strong expertise in semiconductor materials, molecular modeling, or adjacent technical fields Comfortable coding in Python or MATLAB for research or technical applications Exceptionally detail-oriented with strong written communication skills in English Self-motivated and reliable when working independently without supervision Currently based in the U.S., Canada, U.K., Australia, or New Zealand
Nice to Have
Prior experience with data annotation, data labeling, or AI evaluation workflows Background in industry or academic research with published or applied work Familiarity with computational materials science or simulation tools Experience explaining complex scientific concepts clearly and concisely
Why Join Us
Work on frontier AI projects alongside the world's leading 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, tangible impact on how AI understands advanced scientific domains Potential for ongoing work and contract extension as new projects launch Training and onboarding support provided — no prior AI experience necessary