DevOps / IaC Engineer

DevOps / IaC Engineer (AI Training Contract)

About the Role

What if your hard-won DevOps expertise could directly shape how AI understands and reasons about cloud infrastructure? We're looking for experienced DevOps and Infrastructure as Code engineers to design, evaluate, and refine complex infrastructure challenges — helping train and benchmark the AI systems that top labs and Fortune 500 teams rely on.

This is a fully remote, flexible contract role. If you live and breathe Terraform, Kubernetes, and cloud architecture, this is a rare opportunity to put that knowledge to work in a genuinely high-impact way.

• Organization: Labelbox
• Type: Hourly Contract
• Location: Remote
• Commitment: Minimum 15 hrs/week, fully async

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What You'll Do

• Design and build realistic, high-quality infrastructure and automation challenges that rigorously test AI model capabilities
• Review and refine existing DevOps scenarios for technical accuracy, depth, and clarity
• Write and evaluate Infrastructure as Code using Terraform, Pulumi, or CloudFormation
• Architect cloud-based infrastructure scenarios across AWS, GCP, or Azure — covering networking, IAM, VPCs, and resource policies
• Develop CI/CD pipeline challenges using tools like GitHub Actions, CircleCI, or equivalent
• Create and assess containerized and orchestrated workloads with Docker and Kubernetes
• Document your technical reasoning, design decisions, and evaluation rationale clearly and concisely

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Who You Are

• 4+ years of hands-on experience in DevOps, SRE, or cloud infrastructure roles
• Deep expertise in Infrastructure as Code — Terraform strongly preferred; Pulumi or AWS CloudFormation also valued
• Proficient with at least one major cloud provider (AWS preferred; Azure or GCP accepted)
• Strong command of containers (Docker) and orchestration (Kubernetes)
• Solid understanding of networking fundamentals, IAM, VPCs, security groups, and resource policies
• Experienced writing modular, DRY IaC with responsible state management practices
• Comfortable with CI/CD pipelines and deployment automation
• Strong written communication skills in English — you can explain complex systems clearly

Nice to Have

• Experience in Site Reliability Engineering or platform engineering
• Familiarity with ML infrastructure, GPU workloads, or AI development pipelines
• Background in cloud security, compliance, or zero-trust architecture
• Prior experience in technical writing, documentation, or challenge/exam design
• Bachelor's or advanced degree in Computer Science, Engineering, or a related field

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Why Join Us

• Work on cutting-edge AI projects alongside leading research labs and top-tier AI teams
• Fully remote and async — work when and where it suits you, on your own schedule
• Direct impact — the challenges you craft directly improve how frontier AI models reason about real infrastructure
• Clear ownership — you know exactly what success looks like and have the autonomy to deliver it
• Growth potential — high performers take on expanded scope and help mentor incoming subject matter experts
• Flexible workload — engage as much or as little as your schedule allows, with rolling project availability