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# Devops Engineer - Ai Model Evaluator

- **Company:** Mercor
- **Location:** Badajoz, Spain (Remote available)
- **Salary:** €176,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Catalyst (Software), Cloud Engineering, Continuous Integration, Cursor, DevOps, Reliability Engineering, Datadog, Google Cloud, Claude Code, AI Coding Agents, Kubernetes, Infrastructure Automation Frameworks, Google Gemini, Terraform
- **Published:** October 15, 2026
- **Apply:** https://www.buscojobs.com.es/devops-engineer-ai-model-evaluator-en-badajoz-ID-376825810

## About the Role

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 like Cursor , Claude Code , Codex , Windsurf , Gemini CLI , or similar tools.
Ability to evaluate model-generated infrastructure and reliability engineering solutions.
Qualifications Preferred
Experience supporting production-scale systems .
Compensation & Legal

## Description

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: RemoteResponsibilitiesUse frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks.Review model-generated implementations involving cloud platforms , Kubernetes , CI/CD systems , and infrastructure automation .Identify bugs, edge cases, reliability issues, and failure modes in model outputs.Compare outputs from multiple frontier models to assess strengths and weaknesses.Apply professional engineering judgment to realistic infrastructure engineering scenarios.Qualifications Must-Have2+ 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 like Cursor , Claude Code , Codex , Windsurf , Gemini CLI , or similar tools.Ability to evaluate model-generated infrastructure and reliability engineering solutions.Qualifications PreferredExperience supporting production-scale systems .Compensation & Legal$400 per accepted task .Compensation is tied to accepted work.#J-*****-Ljbffr