DevOps Engineer - AI Model Evaluator
Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks. Review and compare model-generated implementations for cloud platforms, Kubernetes, and CI/CD systems to identify bugs and reliability issues.
- Remote
- Montreal, Quebec, Canada
- Posted Aug 3, 2026
- Apply by Sep 2, 2026
- 1 position
Job summary
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 in model outputs. Compare outputs from multiple frontier models to assess their strengths and weaknesses. Apply professional engineering judgment to realistic infrastructure engineering scenarios. 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 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. ,
What you’ll do
Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks. Review and compare model-generated implementations for cloud platforms, Kubernetes, and CI/CD systems to identify bugs and reliability issues.
Requirements
Requires 2+ years of professional experience in DevOps, SRE, or Cloud Engineering with proficiency in major cloud providers and infrastructure tools. Must have regular experience using AI coding agents like Cursor, Claude Code, or Gemini CLI.
Listed skills
- Microsoft AzurePreferred
- KubernetesPreferred
- CI/CDPreferred
- Amazon Web ServicesPreferred
- Google CloudPreferred
- TerraformPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- DevOps
- SRE
- Cloud Engineering
- Kubernetes
- Terraform
- CI/CD
- Observability
- AWS
- Azure
- GCP
- AI Coding Agents
- Infrastructure Automation
- Reliability Engineering
- Model Evaluation
- Bug Identification
- Cloud Platforms
Job areas
- Technology
- Engineering
- Software
- Data & Analytics
Additional details
- Minimum experience
- 2+ years
- Apply by
- Sep 2, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Location requirements
- Country, Greater Montreal Metropolitan Area
- Seniority
- Not Applicable