DevOps​/IaC Engineer AI Training

Dev Ops/IaC Engineer (Contract)

Remote (United States preferred). Shape the data that powers frontier AI.

• Engagement – Hourly, at‑will contractor
• Schedule – Fully remote & asynchronous (min. 15 hrs/week)
• Pay Range (US) – $25–$100 per hour
• Start Date – Rolling, staffed as projects launch

• Design and maintain cloud-based infrastructure (AWS, GCP, or Azure) for AI development pipelines.
• Automate infrastructure using tools like Terraform, Ansible, or similar.
• Monitor and improve system performance, reliability, and scalability.
• Identify and resolve infrastructure bottlenecks or deployment issues.
• Summarize your troubleshooting, design, and optimization decisions clearly and concisely.

• Fluent in English with strong writing and communication skills.
• Expertise in Dev Ops and Infrastructure as Code (IaC): containers (Docker), orchestration (Kubernetes), CI/CD (Git Hub Actions, Circle
  
  CI, etc.).
• 3–5 years of experience in Dev Ops, cloud infrastructure, or SRE roles is a plus.
• Bachelor’s degree (or pursuing one) in Computer Science, Engineering, or related field. Master’s or PhD preferred.
• Deep interest in AI/ML infrastructure, cloud computing, or secure system design.
• 4+ years of professional experience in Dev Ops, SRE, or infrastructure roles with a focus on IaC.
• Deep hands‑on experience with Terraform (preferred), Pulumi, or AWS Cloud Formation.
• Proficiency with at least one major cloud provider (AWS preferred; Azure or GCP acceptable).
• Strong understanding of networking, IAM, VPCs, security groups, and resource policies.
• Comfortable writing modular, DRY IaC, and using state management practices responsibly.

• Flexible workload – work from anywhere, on your own schedule.
• High impact – your craft directly improves models used by top AI labs & Fortune 500 teams.
• Clear ownership – know exactly what success looks like and have autonomy to deliver.
• Growth potential – consistent high performers spearhead new programs and mentor incoming SMEs.

• Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience.
• Domain‑specific Zara interview to assess your Dev Ops expertise, including Infrastructure as Code, CI/CD pipelines, and VMs.

Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by Soft Bank, Andreessen Horowitz, BCapital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.

Click “Apply” above, and take one or more domain specific assessments. We review candidates on a rolling basis and will contact you if your background matches an active project.