First seen by our source: 20 days ago
Full-Stack Engineer - AI Systems
@ Mercor
Toronto, Ontario
Overview
Mercor is hiring a remote contract Full-Stack Software Engineer at $50 to $80 per hour to write product specifications, reference implementations and browser-based acceptance tests for AI systems. The work requires 3+ years of full-stack experience with auth, payments and file upload in production. Mercor connects technical talent with AI research labs.
Pay:
$50–$80 an hour
Responsibilities:
- Write precise product specifications for application development and grading
- Build complete reference implementations meeting all criteria
- Author browser-driven acceptance criteria
- Calibrate task difficulty using frontier models
- Verify tasks fail cleanly against empty repositories
Requirements summary:
- 3+ years of professional full-stack engineering experience
- Fluency in one modern frontend framework and one backend runtime
- Production experience with auth, permissions, payments and file upload
- Ability to specify systems precisely in writing
- Comfort with Docker, Git and command-line tooling
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 | Mid level |
| Department | Software development |
| Experience | 3+ years |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
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: Full-Stack Software Engineer
Type: Contract
Compensation: $50–$80/hour
Location: Remote
Role Responsibilities
- Write precise product specifications for application development and automatic grading.
- Build complete reference implementations that meet all written criteria.
- Author browser-driven acceptance criteria to verify user-visible behavior.
- Calibrate task difficulty using frontier models to achieve target performance.
- Verify tasks fail cleanly against empty repositories to ensure genuine feature development.
Qualifications
Must-Have
- 3+ years of professional full-stack engineering experience.
- Fluency in at least one modern frontend framework and one backend runtime.
- Experience with auth, permissions, payment flows, and file upload in production.
- Ability to specify systems precisely in writing.
- Comfort with Docker, Git, and command-line tooling.
Preferred
- Experience building evaluations, benchmarks, or test suites for AI systems.
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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