Remote DevOps Engineer for AI Model Evaluation

Mercor

San Francisco (CA)

Hybrid

MXN 1,745,000 - 2,492,000

Full time

6 days ago

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Benefits offered by this job

Remote

Job summary

Mercor is seeking a DevOps/SRE/Cloud Engineer (Coding Agent Experience) in a contract role. This position offers remote work and requires hands-on experience with cloud platforms and modern automation practices.

You will use frontier AI coding agents to tackle infrastructure tasks, review model-generated deployments, and ensure reliability across Kubernetes, CI/CD, and observability tooling. Compensation is task-based with performance-driven rewards.

Qualifications

2+ years of professional DevOps/SRE/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.

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.