Materials Science PhD - Problem Author

mercor; Deutschland; A distancia; EUR 88.000 - 120.000; A tiempo parcial

Descripción de la vacante

Mercor is seeking a Materials Writer - Engineering to craft original, free-response problems in Materials Science & Engineering for advanced AI research contexts. This remote contract role focuses on rigorous problem design and industry-grounded solutions, with independence and strict deadlines.

You will collaborate with AI teams to improve model training and evaluation, drawing on a PhD and 5+ years in materials selection, failure analysis or process development; remote work offered to

Formación

• 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.

Responsabilidades

• 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.

Educación

PhD in Materials Science & Engineering

Descripción del empleo

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

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

• 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.