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Mathematics PhD Coding Experts

Listed pay: $70 / hr

What the posting lists, in US dollars an hour, before anything Mercor deducts.

42 openings on this one listing.

How to apply
Platform
Mercor
Terms
Contract, part-time
Location
Remote, no country stated
Posted
· 3 weeks ago
Status
Open at the last check

Applying on Mercor

Apply on Mercor

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Red Pen Jobs is independent. We are not affiliated with, endorsed by, or acting for Mercor in any way, and we do not recruit on its behalf.

What happens after you click

  1. The link opens this role on Mercor. Sign up and apply from there.
  2. Upload a resume, complete the assessments the role asks for and verify your work authorisation.
  3. An AI interview of about 20 minutes. Mercor says it usually takes 2 to 4 weeks to hear back.
  4. If Mercor hires you, you are paid weekly, on the Wednesday after each work week, via Stripe. Mercor says first payouts are held for 7 days.
  5. The work is paid by the hour, at the $70 this posting lists.
  6. Remote. The posting names no country, so we have not assumed one applies.

What the work is

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

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

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

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

Required

  • 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

  • Publications in peer-reviewed journals

  • Prior scientific software or research engineering experience

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.

From the Mercor listing.

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