Materials Science PhD - AI Evaluator

Role Summary

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: Material Science PhD Coding Experts
• Type: Contract
• Compensation: $70/hour
• Location: Remote
• Duration: 6 weeks
• Commitment: 20+ hours/week
• Role Responsibilities

Source material from published papers, Kaggle datasets, open-source repositories, or designed scenarios.

Write scientific prompts based on sourced input to challenge AI models .

Build grading criteria to define correct answers for scientific tasks.

Calibrate tasks against frontier models, ensuring tasks ship only when strong models fail more often than succeed.

Work independently and asynchronously to meet deadlines and improve AI model performance .

Requirements

• PhD in materials science, materials engineering, applied physics, chemistry, chemical engineering, or a closely related field.
• Demonstrated depth in semiconductor materials and molecular modeling.
• Working proficiency in Python , R , or another relevant programming language for scientific computing.
• Comfortable with Git/GitHub and running code in Docker .

Preferred

• Publications in peer-reviewed journals.
• Prior scientific software or research engineering experience.
• Start Date
• Immediate

Additional Information

Upload your resume and application form.

A 25-minute conversational interview covering your background, experience, and motivations.

Follow up within a few days with next steps and onboarding.

• 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:

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