First seen by our source: 20 days ago
Computational Statistics Expert - PhD
@ Mercor
Toronto, Ontario
Overview
Mercor is hiring a remote contract Computational Statistics and Applied Mathematics Expert at $70 to $90 per hour, for 15 to 20 hours per week. The role designs and tests computational problems that challenge AI systems on scientific and engineering tasks, using R, Python and Matlab/Scilab.
Pay:
$70–$90 an hour
Responsibilities:
- Design challenging computational problems to test AI systems
- Develop problems using specialized statistical or scientific software
- Test and refine problems against state-of-the-art AI models
- Collaborate with AI research teams on problem setups and validators
- Work independently in a Linux/terminal environment
Requirements summary:
- Graduate-level training in statistics, applied mathematics or STEM
- Proven proficiency with a specialized statistical or scientific package
- Strong Python skills
- Ability to work independently and refine designs from feedback
- Available 15 to 20 hours per week
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 | 17.5 |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (required), Doctorate (preferred) |
| Fields of study | statistics, applied mathematics, STEM |
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: Computational Statistics and Applied Mathematics Expert (R, Python, and Matlab/Scilab)
Type: Contract
Compensation: $70–$90/hour
Location: Remote
Commitment: 15–20 hours/week
Role Responsibilities
- Design challenging computational problems to test AI systems' ability to solve scientific and engineering tasks.
- Develop problems requiring skilled use of specialized statistical, mathematical, or scientific software packages.
- Test and refine problems against state-of-the-art AI models to achieve target difficulty.
- Collaborate with AI research teams to improve problem setups and solution validators.
- Work independently in a Linux/terminal environment with remote compute sandboxes.
Qualifications
Must-Have
- Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
- Proven proficiency with at least one specialized statistical, mathematical, or scientific software package.
- Strong Python skills.
- Ability to work independently and refine problem designs based on feedback.
- Available for at least 15–20 hours per week.
Preferred
- Experience across multiple computational domains or specialized software packages.
- Familiarity with benchmark or evaluation design.
- Background in scientific teaching or exam/problem-set design.
- Experience with computational reproducibility and containerized environments.
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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