Material Science Expert (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 materials science problems with real-world scientific relevance
- Apply your expertise in semiconductor materials, molecular modeling, or related subfields to craft complex, rigorous problem statements
- Evaluate AI-generated scientific reasoning for accuracy, depth, and methodological soundness
- Collaborate asynchronously with AI researchers and fellow domain experts to push the boundaries of AI scientific reasoning
- Ensure scientific rigor, clarity, and precision across all deliverables
- Work independently on task-based assignments at a pace that suits your schedule
About the Role
What if your deep expertise in materials science could directly shape how AI reasons about semiconductors, molecular structures, and the physical world? We're looking for Materials Science specialists — Masters and PhD holders — to help train and evaluate cutting-edge AI models on some of the most technically demanding problems in the field. 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. No prior AI experience needed — your scientific expertise is what matters.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
Who You Are
- Master's or PhD in Materials Science or a closely related discipline
- Strong expertise in semiconductor materials, molecular modeling, or adjacent research areas
- Comfortable coding in Python or MATLAB — research-level experience is ideal
- Exceptional written communicator who can convey complex scientific ideas with clarity
- Detail-oriented and methodical — you hold your work to a high standard
- Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand
Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Background in computational materials science or atomistic simulation
- Familiarity with density functional theory (DFT), molecular dynamics, or related techniques
- Experience translating research findings into clear written documentation for non-specialist audiences
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, intellectually stimulating work
- Make a direct, tangible impact on how AI understands and reasons about materials science
- Training and onboarding support provided — hit the ground running from day one
- 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
Eligible Languages
Fluent proficiency in English
Compensation Analysis
What if your deep expertise in materials science could directly shape how AI reasons about semiconductors, molecular structures, and the physical world? We're looking for Materials Science specialists — Masters and PhD holders — to help train and evaluate cutting-edge AI models on some of the most technically demanding problems in the field. This i
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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.