First seen by our source: 20 days ago
Mathematics PhD - AI Evaluation Expert
@ Mercor
Toronto, Ontario
Overview
Mercor is hiring a Mathematics PhD for a six-week remote contract as an AI evaluation expert, at $70 per hour and 20+ hours per week. The work is writing scientific prompts and grading criteria from published papers and datasets, and calibrating tasks against frontier AI models. The posting requires a PhD in mathematics and Python for scientific computing.
Pay:
$70 an hour
Responsibilities:
- Source material from published papers, datasets, or self-designed scenarios
- Write scientific prompts based on sourced inputs
- Build grading criteria to define correct answers
- Calibrate tasks against frontier models
Requirements summary:
- PhD in mathematics, applied mathematics, computational mathematics, or closely related field
- Depth in at least two subdomains
- Working proficiency in Python for scientific computing
- Comfortable with Git/GitHub and Docker
Tools & skills
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
| Seniority | Senior |
| Department | Research & science |
| Hours per week | 20 |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Doctorate (required) |
| Fields of study | Mathematics, Applied Mathematics, Computational Mathematics |
Summary and details written by AI from the posting; the employer’s posting is the authority.
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.
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 51-200 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2023 |
| Open jobs on Jobsy | 1,626 |
| View page |
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 material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios.
- Write scientific prompts based on sourced inputs.
- Build grading criteria to define correct answers.
- 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.
- Depth in at least two subdomains: numerical linear algebra, computational mechanics, computational finance.
- Working proficiency in Python 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.
Journal
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