DevOps / SRE / Cloud Engineer - AI Model Evaluator

Mercor Ai — Estonia · Posted ~3 days ago

Mid Contract Remote $85/hour

Skills

DevOps SRE Cloud engineering AWS Azure Kubernetes CI/CD Observability Infrastructure automation Infrastructure troubleshooting AI coding agents

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Summary ✨ AI‑Generated

A remote contract opportunity is available for a DevOps, SRE, or Cloud Engineer with at least two years of professional experience. You will use advanced AI coding agents to complete and evaluate infrastructure tasks, review generated implementations across cloud platforms, Kubernetes, CI/CD, observability, and automation, and identify reliability issues, bugs, and edge cases.

Highlights

Work remotely on cutting-edge AI evaluation tasks using frontier coding agents. The role combines professional infrastructure engineering with evaluation of cloud, Kubernetes, CI/CD, observability, and automation implementations, offering strong exposure to emerging AI-assisted software engineering.

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: 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 taskCompensation tied to accepted work. Application Process (Takes 20–30 mins to complete) Upload resumeAI interview based on your resumeSubmit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,