DevOps Engineer for AI Infrastructure

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people discover projects, consolidate opportunities, and build a reusable portfolio of AI training work so you can grow a durable freelance career.

Our community powers the human side of AI: contributors annotate data, evaluate model outputs, and support the infrastructure that keeps AI training running. OpenTrain connects skilled contractors with organizations that need reliable human expertise.

About This Role

OpenTrain is recruiting a DevOps Engineer contractor to support AI training efforts and infrastructure. This is a remote, part-time contractor role (20+ hours/week) suitable for someone with strong Linux, cloud, container, automation, CI/CD, monitoring, and security skills.

No prior AI experience is required—this role focuses on infrastructure that enables AI training projects across AWS, Azure, GCP, and Digital Ocean.

• Employment type: Contractor, Part-time
• Time commitment: 20+ hours per week
• Language: English
• Location: Worldwide (remote)

What You'll Do

You will design, deploy, and maintain resilient infrastructure to support AI training workloads, build and streamline deployment processes, and collaborate with cross-functional teams to keep systems secure and performant.

• Design, deploy, and manage resilient, secure, and scalable infrastructure across AWS, Azure, GCP, and Digital Ocean.
• Implement and streamline CI/CD pipelines for rapid, reliable deployments.
• Build and maintain containerized applications with Docker and orchestrate clusters with Kubernetes.
• Automate infrastructure provisioning and management with Terraform and Ansible.
• Monitor system health and performance with Prometheus, Grafana, and centralized logging tools.
• Handle access management and secrets with IAM and security best practices.
• Troubleshoot infrastructure and deployment issues in collaboration with cross-functional teams.

Required Skills

Candidates must demonstrate hands-on experience across core infrastructure, automation, and cloud tooling. Remote collaboration and the ability to work independently as a contractor are essential.

• Linux system administration and fundamental networking concepts.
• Hands-on experience with Digital Ocean, AWS, Azure, and GCP.
• Proficiency with Docker, Kubernetes, Terraform, and Infrastructure as Code.
• Knowledge of IAM principles, secrets management, and security best practices.
• Experience implementing and optimizing CI/CD pipelines.
• Familiarity with Prometheus, Grafana, and logging tools.
• Strong problem-solving, communication, and collaboration skills in remote environments.
• Able to work independently in a remote contractor setting.

Helpful Background

The following qualifications are not required but indicate a strong fit for the role and complex environments.

• Experience contributing to large-scale, distributed systems.
• Advanced automation, configuration management, and cloud-native security skills.
• Exposure to microservices architectures and agile delivery methodologies.

Compensation & Logistics

This is paid hourly contracting work. Pay range is USD $30–$80 per hour, with an indicated top rate of $80/hr. Work is remote and can be performed from most countries; proficiency in English is required.

• Payment type: Hourly contractor (USD)
• Hourly rate: $30–$80/hr (up to $80/hr)
• Weekly commitment: 20+ hours

Who Should Apply & Next Steps

Apply if you are a self-directed DevOps or cloud engineer who enjoys building scalable infrastructure and working remotely to support AI training and data-labeling operations. No prior AI-specific experience is necessary—bring strong infrastructure skills and a collaborative mindset.

To apply, create or use your OpenTrain account, complete your profile, and submit your application for this contractor position. OpenTrain will connect qualified applicants with the engagement and provide next-step details.

• Experience level: Entry level (suitable for candidates with solid practical skills)
• Be prepared to discuss recent infrastructure projects, tooling choices, and remote collaboration experience.