Remote Materials Science AI Training Specialist

Alignerr Corp.; United States; Remote; GBP 34,000 - 83,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Freelance autonomy

Intellectually engaging work

Job summary

Alignerr is seeking a Materials Science Expert to train and evaluate AI models involving semiconductor materials and molecular modeling. This remote, hourly contract role offers flexible scheduling (10–40 hours per week) and the chance to contribute to cutting-edge research in AI-driven materials science.

Ideal candidates hold a Master’s or PhD in Materials Science with strong coding skills in Python or MATLAB and excellent scientific communication.

Qualifications

• Master's or PhD in Materials Science or closely related discipline.
• Strong expertise in semiconductor materials, molecular modeling, or adjacent areas of materials research.
• Proficient in Python or MATLAB for research, simulation, or data analysis.

Responsibilities

• Develop, solve, and critically review advanced materials science problems with real-world relevance.
• Apply expertise in semiconductor materials or molecular modeling to design complex problem statements.
• Evaluate AI-generated scientific reasoning for accuracy and rigor.
• Collaborate asynchronously with AI researchers and domain experts to improve model performance.
• Ensure scientific clarity, precision, and intellectual integrity across all deliverables.
• Work independently on task-based assignments on your own schedule.

Skills

Semiconductor materials

Molecular modeling

Materials research

Education

Master's degree in Materials Science

PhD in Materials Science

Tools

Python

MATLAB

Job description

Alignerr is seeking a Materials Science Expert to train and evaluate AI models involving semiconductor materials and molecular modeling. This remote, hourly contract role offers flexible scheduling (10–40 hours per week) and the chance to contribute to cutting-edge research in AI-driven materials science.

Ideal candidates hold a Master’s or PhD in Materials Science with strong coding skills in Python or MATLAB and excellent scientific communication.