[Hiring] Materials Science PhD - Problem Author - AI Trainer @Mercor

Role Description

• 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

• 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.

Company Description

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.