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First seen by our source: 21 days ago

Computational Mathematician - Fully Remote | Upto $70/hr

@ Mercor

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Toronto, Ontario

$70/hr
Apply now
SIGNALS

Overview

Mercor is hiring a remote contract Computational Mathematician, paid $70 per hour for six weeks at 20+ hours per week. The role writes and grades scientific prompts and answers to challenge frontier AI models, drawing on published papers, Kaggle datasets and open-source repositories. A PhD in mathematics and working knowledge of Python or R are required.

Pay:

$70 an hour

Responsibilities:

  • Source original material from papers, datasets and repositories
  • Write scientific prompts to challenge frontier models
  • Build grading criteria defining correct answers
  • Calibrate tasks against frontier models before release
  • Work independently and asynchronously to meet deadlines

Requirements summary:

  • PhD in mathematics or a closely related field
  • Depth in at least two computational subdomains
  • Working proficiency in Python or R
  • Comfortable with Git/GitHub and Docker
  • Publications in peer-reviewed journals (preferred)

Tools & skills

PythonRGitGitHubDocker
Source and dates

Source type not verified · manatal

Employer posting date
Not provided
First seen by our source
2026-10-17
Source record updated
2026-10-17

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentResearch & science
Hours per week20
Travelair: none · ground: none
Work settingHome
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationDoctorate (required)
Fields of studymathematics, applied mathematics, computational mathematics

Summary and details written by AI from the posting; the employer’s posting is the authority.

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Mercor

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

We connect human expertise with leading AI labs and enterprises to train frontier models.

Full company description

Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.

LinkedIn followers
654,507
People associated on LinkedIn
5,250
Reported office locations
  • San Francisco, California 94105, US
Business categories
  • Employment
  • Software
  • Recruiting
  • Data Collection and Labeling
  • Artificial Intelligence (AI)
  • Machine Learning
Other recorded names
  • Mercor
Profile identifies a recruitment agency
Yes
Reported total investment
483,600,000

Currency and observation date were not supplied; this is not a current valuation or a funding round.

View all jobs Website

Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.

FieldValue
IndustrySoftware Development
Company size51-200 employees
HeadquartersSan Francisco, California
Organization typePrivately Held
Year founded2023
Open jobs on Jobsy1,626
LinkedInView page
Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Mathematics PhD Coding Experts
Type: Contract
Compensation: $70/hour
Location: Remote
Duration: 6 weeks
Commitment: 20+ hours/week

Role 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.

Qualifications

Must-Have

  • PhD in mathematics, applied mathematics, computational mathematics, or a closely related field.
  • Demonstrated depth in at least two 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.

Preferred

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

Start Date

  • Immediate

Interview Process

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

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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