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Mathematics PhD Coding Experts

You will author original, executable research problems that today's frontier models cannot solve.

Remote$70 per hour
Hiring companyMercor
Application processN/ANo approved reviews yet
Work experienceN/ANo approved reviews yet

About the role

Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code).

Mercor is partnering with leading AI labs on a new benchmark for scientific computing.

Domains - depth required in at least two subdomains (with a coding focus)

  • Mathematics — numerical linear algebra, computational mechanics, computational finance.

Engagement

  • Duration: 6 weeks.
  • Commitment: part-time, 20+ hours per week.
  • Start date: immediate.

Process

  1. Upload your resume and application form.
  2. A 25-minute conversational interview covering your background, experience, and motivations.
  3. Follow up within a few days with next steps and onboarding.

Apply today and put your research expertise to work building the next generation of scientific AI.

Contract and Payment Terms

  • You will be engaged as an independent contractor.
  • This is a fully remote role that can be completed on your own schedule.
  • Projects can be extended, shortened, or concluded early depending on needs and performance.
  • Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.

Responsibilities

  • 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.

Required skills

  • 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.

Preferred skills

  • Publications in peer-reviewed journals.
  • Prior scientific software or research engineering experience.

Eligibility

Work arrangement: Fully remote

  • Please note: We are unable to support H1-B or STEM OPT candidates at this time.

Compensation details

$70 per hour.

  • Payments are weekly on Stripe or Wise based on services rendered.
More about the hiring companyMercor
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