Material Science Expert (Masters/PhDs)
Alignerr · Australia
- Hybrid
- Contract
- $60,000 / year
- Australia
Tailored resume — keyword-matched to this role.
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Job highlights
- Train AI models using your materials science expertise.
- Develop and review complex scientific problems.
- Collaborate with AI researchers remotely.
- Evaluate AI-generated scientific content.
- Flexible remote contract work available.
About the role
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 Materials Science experts — Masters and PhD-level — to help train and evaluate cutting-edge AI models, ensuring they think with the precision, depth, and rigor that real science demands.
This is a fully remote, flexible contract role built for researchers and domain specialists who want to put their expertise to work in a new and impactful way. No prior AI experience required — full training support is provided.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Develop, solve, and critically review advanced materials science problems with real-world relevance
- Apply deep expertise in semiconductor materials, molecular modeling, or related specializations to design complex, high-quality problem statements
- Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning
- Evaluate AI-generated scientific content for accuracy, rigor, and conceptual soundness
- Ensure clarity, depth, and scientific integrity across all deliverables
- Complete task-based assignments independently on your own schedule
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 computational work
- Naturally detail-oriented with a rigorous, systematic approach to scientific problems
- Clear and precise written communicator — you can explain complex ideas with accuracy and depth
- Currently based in the U.S., Canada, U.K., Australia, or New Zealand
Nice to Have
- Experience with data annotation, data quality assessment, or AI evaluation workflows
- Background in computational materials science, nanomaterials, or quantum materials
- Prior involvement in interdisciplinary research or industry-applied materials work
- Familiarity with AI tools or scientific evaluation platforms
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, task-based scientific work
- Make a direct, tangible impact on how AI understands and reasons through materials science
- Contribute to technology that could accelerate scientific discovery at global scale
- Potential for ongoing work and contract extension as new projects launch
Key skills/competency
- Materials Science
- AI Training
- Semiconductor Materials
- Molecular Modeling
- Python
- MATLAB
- Scientific Communication
- AI Evaluation
- Computational Materials Science
- Research
Skills & topics
- Materials Science
- AI Training
- Semiconductor Materials
- Molecular Modeling
- PhD
- Masters
- Remote
- Contract
- Python
- MATLAB
- Scientific Research
- AI Evaluation
How to get hired
- Tailor your resume: Highlight your Materials Science background, AI training relevant skills (Python, MATLAB), and any AI evaluation experience.
- Craft a strong cover letter: Emphasize your PhD/Masters and your passion for applying scientific rigor to AI development.
- Prepare for technical questions: Be ready to discuss your research in semiconductor materials or molecular modeling.
- Showcase communication skills: Demonstrate your ability to explain complex scientific concepts clearly and concisely.
- Understand the company: Research Alignerr's mission in AI and materials science collaboration.
Technical preparation
Master semiconductor materials and molecular modeling principles.,Practice coding in Python or MATLAB.,Familiarize yourself with AI evaluation workflows.,Prepare to explain complex scientific concepts.
Behavioral questions
Describe a rigorous scientific problem you solved.,How do you ensure accuracy in complex data?,How do you collaborate with remote teams?,Explain a complex topic simply.
Frequently asked questions
- What specific materials science fields are most relevant for this Alignerr role?
- Alignerr is particularly interested in expertise within semiconductor materials and molecular modeling. However, closely related fields and adjacent research areas are also highly valued for this AI training position.
- Do I need prior AI experience to apply for the Materials Science Expert role at Alignerr?
- No, prior AI experience is not required. Alignerr provides full training support for their AI models, focusing instead on your deep domain knowledge in materials science.
- What is the expected time commitment for this remote Materials Science Expert position?
- This is an hourly contract role with a commitment ranging from 10 to 40 hours per week, offering flexibility to fit your schedule.
- What are the geographical restrictions for this remote role at Alignerr?
- Candidates must currently be based in the U.S., Canada, U.K., Australia, or New Zealand to be considered for this remote Materials Science Expert position.
- How does Alignerr ensure the quality of AI-generated scientific content?
- As a Materials Science Expert, you will be responsible for evaluating AI-generated content for accuracy, rigor, and conceptual soundness, ensuring scientific integrity.
- What programming languages are useful for the Materials Science Expert role at Alignerr?
- Comfort with coding in Python or MATLAB for research or computational work is a requirement for this role, aiding in problem development and analysis.
- Can this Materials Science Expert role at Alignerr lead to ongoing work?
- Yes, there is potential for ongoing work and contract extensions as new projects launch, offering continued opportunities for experienced professionals.