Remote PhD Computational Mathematician - AI Task Designer

Mercor

San Francisco (CA)

Hybrid

GBP 63,000 - 94,000

Full time

3 days ago
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Job summary

Mercor is seeking a Mathematics PhD Coding Expert for a remote contract role of 6 weeks, offering $70/hour and 20+ hours per week. You will source material from papers and datasets, write prompts to challenge frontier models, and build grading criteria to define correct answers for scientific tasks.

You will work independently to meet deadlines while helping improve AI model performance, with immediate start and remote collaboration across time zones.

Qualifications

  • PhD in mathematics or closely related field.
  • Demonstrated depth in at least two subdomains (numerical linear algebra, computational mechanics, computational finance).
  • Proficiency in Python or R for scientific computing.
  • Comfortable with Git/GitHub and running code in Docker.

Responsibilities

  • Source original material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios.
  • Write scientific prompts based on sourced input to challenge frontier models.
  • Build grading criteria that 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 while improving AI model performance.

Skills

PhD in mathematics
Two subdomains depth
Python
R
Git/GitHub
Docker

Education

PhD in Mathematics

Tools

Git
Docker

Job description

Mercor is seeking a Mathematics PhD Coding Expert for a remote contract role of 6 weeks, offering $70/hour and 20+ hours per week. You will source material from papers and datasets, write prompts to challenge frontier models, and build grading criteria to define correct answers for scientific tasks.

You will work independently to meet deadlines while helping improve AI model performance, with immediate start and remote collaboration across time zones.

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