Materials Scientist - Fully Remote | Upto $70/hr
mercor
IndiaPosted 18 days agoDiscoveredMatch locked
RemoteContractorResearch & Development
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 Coding Experts
Role Responsibilities
- Source material from published papers,
Kaggle
datasets, open-source repositories, or designed scenarios.
- Write scientific prompts based on sourced input to challenge
AI models
.
- Build grading criteria to define correct answers for scientific tasks.
- Calibrate tasks against frontier models, ensuring tasks ship only when strong models fail more often than succeed.
- Work
independently
and
asynchronously
to meet deadlines and improve
AI model performance
.
Must-Have
•
PhD
in materials science, materials engineering, applied physics, chemistry, chemical engineering, or a closely related field.
•
Demonstrated depth in semiconductor materials and molecular modeling.
•
Working proficiency in Python
,
R , or another relevant programming language for scientific computing.
•
Comfortable with Git/GitHub
and running code in
Docker
.
Preferred
•
Publications in peer-reviewed journals.
•
Start Date
•
Interview Process
•
Upload your resume and application form.
•
A 25-minute
conversational interview covering your background, experience, and motivations.
•
Application Process (Takes 20–30 mins to complete)
•
Upload resume
•
AI interview based on your resume
•
Resources & Support
•
For details about the interview process and platform information, please check
•
For any help or support, reach out to
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
Not included in the source posting: qualifications, benefits.
Skills
artificial-intelligencedockergitpython
Who can apply
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