Materials Science PhD - Problem Author - AI Trainer

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 Writer - Engineering FRQ
Type:Contract
Compensation:$85/hour
Location:Remote

Role Responsibilities

• Author original, free-response engineering problems in Materials Science & Engineering.
• Develop expert-level solutions grounded in real industry scenarios.
• Validate problem difficulty by testing against three frontier language models.
• Ensure at least one model fails to solve the problems.
• Work independently and asynchronously to meet deadlines.
• Collaborate with AI research teams to enhance model training and evaluation.

Qualifications

Must-Have

• PhD in Materials Science & Engineering, Metallurgy, or a materials-focused Mechanical/Chemical Engineering discipline.
• 5+ years of professional experience in materials selection, failure analysis, testing, or process development.
• Experience with well-known/blue-chip employers.

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: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.