Material Science Specialist (Masters/PhDs)
Alignerr • Remote • Posted 0 days ago
Education
Any
Type
Pay Rate
$82.5/task
Posted
0d ago
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About this Role
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 sharpen AI model reasoning in your field
- Ensure scientific accuracy, clarity, and depth across all deliverables
- Help push the frontier of what AI understands about materials science
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 work with cutting-edge AI research teams, helping build models that genuinely understand advanced scientific concepts. This is a fully remote, flexible contract role built for researchers and domain experts who want to put their knowledge to work beyond the lab — on a schedule that fits their life.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
Who You Are
- Holds a Master's or PhD in Material Science or a closely related discipline
- Deep expertise in semiconductor materials, molecular modeling, or adjacent areas
- Comfortable coding in Python or MATLAB — whether from research, coursework, or projects
- Exceptional written communicator who can translate complex science into clear, structured content
- Detail-oriented and rigorous — you hold your work to a high standard
- Currently based in the U.S., Canada, U.K., Australia, or New Zealand
Nice to Have
- Prior experience with data annotation, data quality, or AI evaluation workflows
- Background in computational materials science or simulation-based research
- Familiarity with scientific communication or peer review processes
Why Join Us
- Work on genuinely cutting-edge AI projects alongside world-leading research labs
- Fully remote and asynchronous — work when and where it suits you
- Freelance autonomy with the structure of meaningful, impactful work
- Make a direct, lasting contribution to how AI understands materials science
- Potential for ongoing work and contract extension as new projects launch
Requirements
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in STEM
Compensation Analysis
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 work with cutting-edge AI research teams, helping build models that genuinely understand advanced scientific concepts. This is a ful
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Frequently Asked Questions
What is the assessment actually like?
Notoriously strict. Alignerr uses TestGorilla for role-specific timed tests — a blank coding environment for engineers, rigorous grammar and fact-checking for writers. There is almost no hand-holding. The critical catch: this is essentially a one-shot process. Fail or abandon the assessment, and you are typically locked out of that role permanently with no option to retake.
How quickly can I start earning after I pass?
Not immediately. Even after passing the assessment and completing identity verification (via Persona) and billing setup (via Deel), you may sit in a waiting pool for weeks or months. You only start earning when a project matching your specific skills launches and you are officially assigned. Do not plan around Alignerr income until you are actively on a project.
Is there a community?
Yes — and it is one of Alignerr's genuine strengths. Once assigned to a project, you are added to Slack channels where you can ask questions, get rubric clarifications from admins, and talk to other AI trainers. This is rare in AI training and makes a real difference when guidelines are ambiguous or change mid-project.
Is this just labeling data?
No. This is closer to academic research. You will likely be writing or verifying complex proofs, solving advanced equations, or checking the logic of a model's step-by-step reasoning. The goal is to teach AI systems to reason deeply in your field.
Do I need a PhD?
For the highest pay tiers in this category, a PhD (or current enrollment) is usually expected. However, the most important factor is your ability to pass the domain assessment. If you can solve the problems, the degree is secondary.
Is the work continuous?
Work in niche fields is often project-based. A specific "campaign" (e.g., training a model on Quantum Mechanics) might last for a few weeks. It is best to treat this as a high-paying fellowship or grant rather than a permanent daily job.
What is the barrier to entry?
Alignerr is known for difficult technical assessments. You must pass a timed test in your specific domain (e.g., Python, Physics, or Language) before you are eligible for any paid projects.