Materials Science Specialist
About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Material Science PhD
Type: Hourly contractor Compensation: $75–$85/hour Location: Remote Commitment: 15–20 hours/week Role Responsibilities
- Collaborate asynchronously with a team of highly qualified experts in Material Science.
- Craft, solve, and review challenging problems with real-world applicability.
- Shape the future of AI innovation by contributing domain expertise in Semiconductor Materials and Molecular Modeling.
- Work independently and asynchronously to meet deadlines while improving AI model performance.
- Engage in a fully remote and asynchronous work environment with potential for increased hours and extension.
Qualifications Must-Have
- Master's or PhD in Material Science from a top US university.
- Experience coding in Python and MATLAB for projects or research.
- Field-specific experience in Semiconductor Materials and Molecular Modeling.
- High attention to detail.
- Exceptional written and verbal communication skills.
- Excellent proficiency in English.
- Currently based in the U.S., Canada, New Zealand, UK, or Australia.
Start Date
- Late December; applications reviewed on a rolling basis.
Interview Process
- Complete a short interview to assess domain expertise.
- Paid for up to 1 hour of onboarding time, including the screening process and onboarding videos if hired.
Compensation & Legal
- Legally classified as an hourly contractor for Mercor.
- Paid weekly via Stripe Connect.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,
Materials Science Specialist
About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Material Science PhD
Type: Hourly contractor Compensation: $75–$85/hour Location: Remote Commitment: 15–20 hours/week Role Responsibilities
- Collaborate asynchronously with a team of highly qualified experts in Material Science.
- Craft, solve, and review challenging problems with real-world applicability.
- Shape the future of AI innovation by contributing domain expertise in Semiconductor Materials and Molecular Modeling.
- Work independently and asynchronously to meet deadlines while improving AI model performance.
- Engage in a fully remote and asynchronous work environment with potential for increased hours and extension.
Qualifications Must-Have
- Master's or PhD in Material Science from a top US university.
- Experience coding in Python and MATLAB for projects or research.
- Field-specific experience in Semiconductor Materials and Molecular Modeling.
- High attention to detail.
- Exceptional written and verbal communication skills.
- Excellent proficiency in English.
- Currently based in the U.S., Canada, New Zealand, UK, or Australia.
Start Date
- Late December; applications reviewed on a rolling basis.
Interview Process
- Complete a short interview to assess domain expertise.
- Paid for up to 1 hour of onboarding time, including the screening process and onboarding videos if hired.
Compensation & Legal
- Legally classified as an hourly contractor for Mercor.
- Paid weekly via Stripe Connect.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,