Remote Material Science Expert for AI Research

Labelbox; A distancia; MXN 200,000 - 400,000; A tiempo parcial

Descripción de la vacante

A leading AI development company is seeking a Material Specialist to work remotely on advanced material science problems. The ideal candidate will have a Master’s or PhD in Material Science and expertise in semiconductor materials or molecular modeling. They should be proficient in Python or MATLAB and possess strong written and verbal communication skills. This contract role offers a competitive hourly rate of $75-$90, requiring 10-40 hours per week with a focus on collaboration with AI researchers.

Formación

• Master's or PhD in Material Science from a top U.S. university.
• Experience coding in Python or MATLAB for research or projects.
• Strong expertise in semiconductor materials or molecular modeling.
• Exceptional written and verbal communication skills with strong attention to detail.
• Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia.

Responsabilidades

• Develop, solve, and review advanced material science problems with real-world relevance.
• Apply expertise in semiconductor materials, molecular modeling, or related areas.
• Collaborate asynchronously with AI researchers and domain experts.
• Ensure scientific rigor, clarity, and depth across all deliverables.

Conocimientos

Coding in Python

Coding in MATLAB

Expertise in semiconductor materials

Expertise in molecular modeling

Strong written communication

Strong verbal communication

Educación

Master’s or PhD in Material Science

Descripción del empleo

A leading AI development company is seeking a Material Specialist to work remotely on advanced material science problems. The ideal candidate will have a Master’s or PhD in Material Science and expertise in semiconductor materials or molecular modeling. They should be proficient in Python or MATLAB and possess strong written and verbal communication skills. This contract role offers a competitive hourly rate of $75-$90, requiring 10-40 hours per week with a focus on collaboration with AI researchers.