Semiconductor Material Science (Masters/PhDs)
Alignerr · Seattle, WA
- Hybrid
- Contract
- $60,000 / year
- Seattle, WA
Job highlights
- Train AI models using semiconductor material science expertise.
- Develop and review advanced material science problems.
- Collaborate with AI researchers remotely and flexibly.
- Evaluate AI-generated scientific content for accuracy.
- Work independently on task-based assignments.
About the 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 through some of the most complex problems in modern science? We're looking for Materials Science specialists — Masters and PhD holders — to work alongside leading AI research teams and help train the next generation of AI models.
This is a fully remote, flexible contract role built for researchers and domain experts who want to do meaningful, high-impact work on their own schedule.
- 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 domains to craft complex, rigorous problem statements
- Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning
- Evaluate AI-generated scientific content for accuracy, depth, and methodological soundness
- Ensure scientific rigor, clarity, and precision across all deliverables
- Work independently on task-based assignments at a pace that suits you
Who You Are
- Master's or PhD in Material Science, or a closely related field, from a recognized university
- Strong expertise in semiconductor materials, molecular modeling, or adjacent areas
- Comfortable coding in Python or MATLAB for research applications or technical problem-solving
- Exceptional written and verbal communication skills with a sharp attention to detail
- Self-motivated, rigorous, and reliable when working independently
- Fluent in English
Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation workflows
- Familiarity with AI tools, large language models, or scientific benchmarking
- Background spanning multiple subfields within materials science or applied physics
- Experience writing or reviewing technical documentation, research papers, or educational content
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, tangible impact on how AI understands and reasons through advanced scientific problems
- Potential for ongoing work and contract extension as new projects launch
Key skills/competency
- Semiconductor Materials Science
- Molecular Modeling
- AI Training
- Python
- MATLAB
- Research
- Data Annotation
- AI Evaluation
- Scientific Rigor
- Problem Solving
Skills & topics
- Semiconductor Materials Science
- Material Science
- Molecular Modeling
- AI Training
- AI Research
- Remote Work
- Contract Role
- Python
- MATLAB
- Scientific Expert
How to get hired
- Tailor your resume: Highlight your Masters/PhD in Material Science and specific expertise in semiconductor materials or molecular modeling. Quantify achievements where possible.
- Showcase technical skills: Emphasize your proficiency in Python or MATLAB for research and problem-solving in your application.
- Demonstrate communication: Provide examples of your exceptional written and verbal communication, attention to detail, and ability to work independently.
- Address remote work: Highlight your self-motivation, rigor, and reliability in previous remote or independent work experiences.
- Express interest: Clearly state your enthusiasm for shaping AI reasoning through scientific expertise.
Technical preparation
Master semiconductor materials principles.,Practice molecular modeling techniques.,Solve material science problems using Python/MATLAB.,Review scientific AI-generated content critically.
Behavioral questions
How do you ensure rigor in your work?,Describe your independent work habits.,How do you communicate complex ideas clearly?,How do you approach evaluating AI output?
Frequently asked questions
- What specific semiconductor materials expertise is Alignerr seeking for this AI training role?
- Alignerr is looking for deep expertise in semiconductor materials, molecular modeling, or closely related adjacent areas. This could include knowledge of specific material properties, fabrication processes, or theoretical understanding relevant to AI training.
- Is prior experience with AI tools or data annotation required for the Semiconductor Material Science Expert position?
- While not strictly required, prior experience with data annotation, data quality assurance, AI evaluation workflows, or familiarity with AI tools and large language models is considered a 'nice to have.' It can strengthen your application.
- What is the expected time commitment for the Semiconductor Material Science Expert role at Alignerr?
- This is a flexible contract role with a commitment ranging from 10 to 40 hours per week, allowing you to work on your own schedule. The specific hours will depend on task availability and your capacity.
- How does Alignerr ensure scientific rigor in the AI training process for this role?
- Alignerr emphasizes scientific rigor by having domain experts like you develop, solve, and critically review advanced material science problems. You will also evaluate AI-generated content for accuracy, depth, and methodological soundness.
- What are the basic technical requirements for a Semiconductor Material Science Expert at Alignerr?
- A Master's or PhD in Material Science or a related field is required. Additionally, comfort with coding in Python or MATLAB for research applications or technical problem-solving is necessary.
- Can I work on this Semiconductor Material Science Expert role if I live outside the United States?
- Yes, this is a fully remote role. As long as you have strong English communication skills and can meet the technical and expertise requirements, your location is not a barrier.
- What is the typical project lifecycle for a Semiconductor Material Science Expert at Alignerr?
- Projects are task-based. You will develop and solve problems, collaborate asynchronously with AI researchers, and evaluate AI outputs. The duration and scope of tasks can vary, with potential for ongoing work.