About the role

DevOps/IaC Engineer (Contract)

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

Quick facts

- 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

What you’ll do

- 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.

You’re a great fit if

- Fluent in English with strong writing and communication skills.

- Expertise in DevOps and Infrastructure as Code (IaC): containers (Docker), orchestration (Kubernetes), CI/CD (GitHub Actions, CircleCI, etc.).

- 3–5 years of experience in DevOps, 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 DevOps, SRE, or infrastructure roles with a focus on IaC

- Deep hands-on experience with Terraform (preferred), Pulumi, or AWS CloudFormation

- 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

About the role

- 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

Interview process

- 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 DevOps expertise, including Infrastructure as Code, CI/CD pipelines, and VMs.

About Labelbox

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 SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.

Ready to Apply?

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.

Skills & Tags

rust aws gcp azure kubernetes docker ai devops

Aplyr's read

Labelbox is a cutting-edge data training platform focused on enhancing AI capabilities through efficient data annotation. Ideal for tech professionals passionate about AI and machine learning.
Synthesized from recent postings & public sources

What's promising

•Labelbox offers a robust platform that significantly accelerates AI model training.
•The company is at the forefront of AI data annotation, a rapidly growing field.
•Recent roles indicate a strong focus on diverse AI applications and research.

What to watch

•The niche focus on data annotation may limit broader tech career opportunities.
•Highly specialized roles might require advanced expertise in AI and machine learning.
•Potential candidates may face intense competition due to the company's innovative reputation.

Why Labelbox

•Labelbox uniquely integrates data annotation with AI model improvement.
•The company emphasizes a forward-deployed engineering approach, embedding engineers directly with clients.
•Its platform is designed to streamline complex data labeling processes efficiently.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Labelbox

Labelbox

labelbox.com

View company

Labelbox is a data training platform that enables organizations to build and manage high-quality training datasets for machine learning applications. By streamlining the data labeling process, Labelbox empowers teams to accelerate their AI initiatives and improve model performance.