At a Glance
- Tasks: Develop and review advanced material science problems for AI training.
- Company: Join Alignerr, a leader in AI research collaboration.
- Benefits: Fully remote, flexible hours, and freelance autonomy.
- Other info: Opportunity for ongoing work and impact in cutting-edge projects.
- Why this job: Shape the future of AI with your expertise in semiconductor materials.
- Qualifications: Masters or PhD in Material Science; Python or MATLAB skills required.
The predicted salary is between 10 - 40 $ per hour.
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 Ph D-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 Ph D 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
Semiconductor Material Science (Masters/PhDs) in Perth employer: Alignerr
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