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Mercor
DevOps Engineer - AI Model Evaluator
Toronto, Ontario, Canada · Télétravail
Publié 11 août 2026
85 $ US / heure
Résumé du poste
Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks. Review and identify bugs or reliability issues in model-generated implementations for cloud platforms and CI/CD systems.
Détails du poste
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.
Ce que vous ferez
Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks. Review and identify bugs or reliability issues in model-generated implementations for cloud platforms and CI/CD systems.
Exigences
Requires 2+ years of professional DevOps, SRE, or Cloud Engineering experience with tools like Kubernetes and Terraform. Candidates must have regular experience using AI coding agents such as Cursor or Claude Code.
Compétences indiquées
- Kubernetes · Souhaitée
- Terraform · Souhaitée
- CI/CD · Souhaitée
- Amazon Web Services · Souhaitée
- Microsoft Azure · Souhaitée
- Google Cloud · Souhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- DevOps
- SRE
- Cloud Engineering
- Kubernetes
- Terraform
- CI/CD
- AWS
- Azure
- GCP
- Observability
- AI Coding Agents
- Infrastructure Automation
Domaines d’emploi
- Technology
- Software
- Engineering
- Data & Analytics