First seen by our source: 20 days ago
DevOps Engineer - AI Model Evaluator
@ Mercor
Toronto, Ontario
Overview
Mercor is hiring a remote contract DevOps, SRE or Cloud Engineer to evaluate frontier AI coding agents on infrastructure engineering tasks. The work covers reviewing model-generated cloud, Kubernetes, CI/CD and observability implementations, finding bugs and failure modes, and comparing models. Pay is $85/hour, or $400 per accepted task, with compensation tied to accepted work.
Pay:
$85 an hour
Responsibilities:
- Review AI-generated cloud and Kubernetes infrastructure implementations
- Identify bugs, edge cases and reliability issues
- Compare outputs from multiple frontier models
- Apply engineering judgment to infrastructure scenarios
- Meet sprint-based project deadlines
Requirements summary:
- 2+ years of professional DevOps, SRE or cloud experience
- Experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD or observability
- Regular use of AI coding agents
- Ability to evaluate model-generated infrastructure solutions
- Preferred: production-scale systems experience
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 | 2+ 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: DevOps / SRE / Cloud Engineer (Coding Agent Experience)
Type: Contract
Compensation: $85/hour
Location: Remote
Role Responsibilities
- Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks.
- Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, observability, and infrastructure automation.
- Identify bugs, edge cases, reliability issues, and failure modes.
- Compare outputs from multiple frontier models and assess their strengths and weaknesses.
- Apply professional engineering judgment to realistic infrastructure engineering scenarios.
- Work independently and asynchronously to meet sprint-based project deadlines.
Qualifications
Must-Have
- 2+ years of professional DevOps, SRE, or Cloud Engineering experience.
- Experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling.
- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
- Ability to evaluate model-generated infrastructure and reliability engineering solutions.
Preferred
- Experience supporting production-scale systems.
Compensation & Legal
- $400 per accepted task.
- Compensation is tied to accepted work.
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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