Materials Scientist - Fully Remote | Upto $70/hr

mercor; India; Remote; INR 8,009,000 - 10,679,000; Full time

Job summary

Mercor is hiring a Material Science PhD Coding Expert for a remote, six‑week contract (about 20+ hours/week) with an immediate start. You will source material from papers and datasets, write scientific prompts, and build grading criteria to define correct answers for complex tasks, calibrating work against frontier models.

Must hold a PhD in a materials-related field, demonstrate depth in semiconductor materials and molecular modeling, and be fluent in Python or R, with Git/GitHub and Docker

Qualifications

• PhD in materials-related field.
• Depth in semiconductor materials and molecular modeling.
• Proficiency in Python or R for scientific computing.
• Comfortable with Git/GitHub and Docker.

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.

Skills

Depth in semiconductor materials

Molecular modeling

Python

R

Git/GitHub

Docker

Education

PhD in materials science or related field

Tools

Python

R

Git/GitHub

Docker

Job description

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: 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 .

Qualifications

Must-Have

• 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