We are looking for Mathematics PhD Coding Experts candidates for a project delivered through Mercor.
What you'll do
- Source your 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
What you need
- PhD in mathematics, applied mathematics, computational mathematics, or a closely related field
- Demonstrated depth in at least two of the following subdomains: numerical linear algebra, computational mechanics, computational finance
- Working proficiency in Python or R for scientific computing
- Comfortable with Git/GitHub and running code in Docker — authoring runs through a pull-request workflow with automated quality checks
Nice to have
- Publications in peer-reviewed journals
- Prior scientific software or research engineering experience
Expertise
Who you work with
Project and contracting process: Mercor. Applications continue on the provider's website.