- Home
- Remote Jobs
- Materials Scientist - AI Trainer
Already filled
Don't miss the next one. Get matching roles delivered to your inbox.
ME
Materials Scientist - AI Trainer
Job summary
San Francisco
Work model
Fully remote
Only United States
1 month ago
Job description
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
Materials Science Expert
Details
- Type: Contract
- Compensation: $85--$93/hour
- Location: Remote
- Commitment: 20 hours/week
Role Responsibilities
- Author and review technical tasks to evaluate AI model performance in materials science.
- Develop original problem sets using phase diagrams, micrographs, and stress-strain curves.
- Write reference solutions and apply structured quality checks to ensure task quality.
- Annotate tasks with detailed insights to improve AI model outputs.
- Work independently and asynchronously with a flexible schedule.
Qualifications
Must-Have
- PhD in Materials Science, Metallurgy, or related field; MS with 3 years experience; or BS with 5 years experience.
- Working fluency in at least two of: phase equilibria, mechanical behavior, crystallography, polymers, or characterization (XRD, SEM, TEM).
- Comfortable interpreting micrographs, diffraction patterns, and property charts.
Preferred
- Publication record or industry R&D track.
Compensation & Legal
- Hourly contractor
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
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor