Alignerr
Semiconductor Material Science (Masters/PhDs)

How your CV stacks up
Upload your CV to see how well it fits this job 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 about the physical world? We're looking for Materials Science specialists — Masters and PhD holders — to tackle advanced scientific problems that push AI to think more rigorously, accurately, and usefully.
This is a fully remote, flexible contract role designed for researchers and domain experts who want to do meaningful, intellectually stimulating work on their own schedule. No prior AI experience needed — your scientific knowledge is what matters.
- 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 deep expertise in semiconductor materials, molecular modeling, or related domains to design complex, meaningful problem statements
- Evaluate AI-generated scientific content for accuracy, rigor, and depth
- Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning
- Ensure all deliverables meet high standards of scientific clarity and correctness
- Work independently on task-based assignments — fully on your own schedule
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Who You Are
- Master's or PhD in Materials Science, or a closely related field
- Strong expertise in semiconductor materials, molecular modeling, or adjacent research areas
- Comfortable coding in Python or MATLAB for research or scientific applications
- Naturally rigorous and detail-oriented — you hold your work to a high standard
- Excellent written communicator who can explain complex concepts with precision and clarity
- Fluent in English


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Background in computational materials science or first-principles modeling
- Experience reviewing or writing scientific literature
- Familiarity with AI tools or research platforms 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, task-based scientific work
- Make a direct, tangible impact on how AI understands and reasons about materials science
- Potential for ongoing work and contract extension as new projects launch
- Training and onboarding support provided — hit the ground running from day one
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location