Mathematics PhD Coding Experts

Description:

• Source material from research papers, Kaggle datasets, open-source repositories, or original scenarios.
• Write scientific computing prompts based on the selected material.
• Develop grading criteria that define correct solutions.
• Calibrate tasks against frontier AI models and release them only when models frequently fail.
• Submit authored work through a Git Hub pull-request workflow with automated quality checks.

Requirements:

• PhD in mathematics, applied mathematics, computational mathematics, or a closely related field.
• Demonstrated depth in at least two of numerical linear algebra, computational mechanics, and computational finance.
• Working proficiency in Python or R for scientific computing.
• Comfort with Git/Git Hub and running code in Docker.
• Peer-reviewed journal publications preferred.
• Prior scientific software or research engineering experience preferred.
• Availability for part-time work of 20+ hours per week over six weeks.
• Ability to start immediately.

Benefits:

• Compensation of $70 per hour.
• Six-week, part-time engagement.
• Opportunity to contribute to a benchmark for scientific AI.
• Reasonable accommodations available upon request.