Remote Materials Science AI Benchmark Engineer

Weekday AI; United States; Remote; USD 83,000 - 110,000; Part time

Job summary

Mercor is partnering with leading AI labs on a new benchmark for scientific computing. You will author original, executable research problems that today's frontier models cannot solve.

We are hiring PhD and Master’s scientists to define domains, source data, write prompts, and build rigorous grading criteria. This fully remote contract runs for 6 weeks at 20+ hours per week, with compensation of $70 per hour.

Qualifications

• PhD in materials science, materials engineering, applied physics, chemistry, chemical engineering, or a closely related field.
• Depth in semiconductor materials and molecular modeling.

Responsibilities

• Source own material: a published paper, a Kaggle dataset, an open-source repository, or a scenario you design.
• Write scientific prompts based on the input.
• Build the grading criteria that define a correct answer.
• Calibrate against frontier models — a task ships only when strong models fail it more often than they succeed.

Skills

Python

R

Git/GitHub

Docker

Education

PhD in materials science

Tools

Docker

Job description

Mercor is partnering with leading AI labs on a new benchmark for scientific computing. You will author original, executable research problems that today's frontier models cannot solve.

We are hiring PhD and Master’s scientists to define domains, source data, write prompts, and build rigorous grading criteria. This fully remote contract runs for 6 weeks at 20+ hours per week, with compensation of $70 per hour.