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: [email protected]

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