PhD Semiconductor Materials Scientist Expert
Top Benefits
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. ,
PhD Semiconductor Materials Scientist Expert
Top Benefits
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. ,