Material Science Expert (Masters/PhDs)

Alignerr Corp.; Boston (MA); Remote; USD 83,000 - 165,000; Part time

Benefits offered by this job

Fully remote

Freelance autonomy

Job summary

Alignerr seeks a Materials Science Expert for AI training. This is a fully remote hourly contract with 10–40 hours per week, allowing flexible scheduling.

You will apply advanced materials science knowledge to train AI models and review AI-driven reasoning, collaborating asynchronously with AI researchers and other domain experts. The role requires a Master’s or PhD in Materials Science, strong expertise in semiconductor materials or molecular modeling, and excellent written English.

Qualifications

• Master's or PhD in Materials Science or related field.
• Strong expertise in semiconductor materials or molecular modeling.
• Fluent in English; ability to communicate complex ideas clearly.

Responsibilities

• Develop and solve advanced materials science problems with real-world scientific relevance.
• Apply expertise in semiconductor materials or molecular modeling to design complex problem statements.
• Evaluate AI-generated scientific reasoning and outputs for accuracy, depth, and rigor.
• Collaborate asynchronously with AI researchers and other domain experts to push the boundaries of AI scientific reasoning.
• Ensure scientific clarity, precision, and depth across all deliverables.
• Work independently on task-based assignments — fully on your own schedule.

Skills

Materials science

Semiconductor materials

Molecular modeling

Python

MATLAB

Education

Master's in Materials Science

PhD in Materials Science

Tools

Python

MATLAB

Job description

Material Science Expert (AI Training)

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 experts — Masters and PhD holders — to help build and train cutting-edge AI models that need to think and solve problems the way top scientists do.

This is a fully remote, flexible contract role. No prior AI experience needed — just a strong command of your field, a rigorous scientific mind, and the ability to communicate complex ideas with clarity.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Develop, solve, and review advanced materials science problems with real-world scientific relevance
• Apply your expertise in semiconductor materials, molecular modeling, or related areas to design complex, challenging problem statements
• Evaluate AI-generated scientific reasoning and outputs for accuracy, depth, and rigor
• Collaborate asynchronously with AI researchers and other domain experts to push the boundaries of AI scientific reasoning
• Ensure scientific clarity, precision, and depth across all deliverables
• Work independently on task-based assignments — fully 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 technical problem-solving
• Exceptionally clear written communicator with a sharp eye for detail
• Fluent in English and currently based in the U.S., Canada, U.K., Australia, or New Zealand
• Self-motivated and rigorous when working independently

Nice to Have

• Prior experience with data annotation, data labeling, or AI evaluation workflows
• Background in computational materials science, surface science, or nanomaterials
• Experience reviewing or writing technical scientific content at a high level
• Familiarity with AI tools or large language model interfaces as an end user

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, intellectually stimulating work
• Make a direct, tangible impact on how AI understands and applies scientific knowledge
• Potential for ongoing work and contract extension as new projects launch