Cloud Infrastructure Task Author

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help experts discover cutting-edge projects, build a credible portfolio, and apply in minutes for flexible work that can grow into a long-term career.

• Free account creation
• Remote opportunities across the AI training industry
• A profile for showcasing relevant experience and completed work

About AI Training Work

AI training is the human side of building modern artificial intelligence. Contributors create, review, and evaluate high-quality examples that help AI systems understand technical problems, produce stronger solutions, and behave more reliably.

This work is remote and often flexible, making it possible to contribute around other commitments. In this role, your cloud engineering judgment and infrastructure expertise will help shape how next-generation AI systems handle real-world engineering tasks.

• Work with advanced AI training and evaluation projects
• Use practical engineering knowledge to create realistic examples
• Contribute remotely with a flexible schedule

The Cloud Infrastructure Task Author Role

OpenTrain is recruiting a Cloud Infrastructure Task Author to create cloud infrastructure tasks and reproducible environments. You will design realistic scenarios involving distributed systems, networking, IAM, queues, durable storage, observability, rolling deployments, and disaster recovery.

The work is output-based and focused on high-quality, real-world engineering input. You will build environments, deterministic validation tests, reference solutions, and intentionally defective variants that can be used to train and evaluate AI systems.

• Remote contractor position
• Part-time engagement with a 20+ hour per week estimate
• Flexible scheduling
• Pay range of $40-$100 USD per hour
• English-language work

What You'll Do

You will turn production-grade cloud infrastructure knowledge into realistic, measurable, and reproducible AI training tasks. The role combines task design, environment construction, testing, debugging, documentation, and expert review.

• Create cloud infrastructure tasks that assess design, deployment, troubleshooting, security, scalability, and recovery skills.
• Build reproducible, containerized environments with valid reference solutions and intentionally defective variants.
• Define measurable requirements across infrastructure configuration, deployed topology, and runtime behavior.
• Develop deterministic integration, load, security, failure-injection, deployment, and recovery tests.
• Debug environments and document technical decisions.
• Review tasks created by other experts.

Requirements

The source listing identifies the experience level as entry level, while the role requirements call for senior-level hands-on experience. Applicants should review the technical expectations carefully before applying.

• Senior-level experience in cloud infrastructure, platform engineering, DevOps, systems engineering, or SRE.
• Personal ownership of a production platform and strong hands-on infrastructure judgment.
• Practical knowledge of distributed systems, scalable APIs, queues, autoscaling, durable storage, and partial-failure scenarios.
• Experience with IAM, private networking, least-privilege access, service-to-service security, observability, SLOs, rollback strategies, and disaster recovery.
• Ability to write infrastructure automation or testing tools in a relevant programming language.
• Ability to debug containerized environments.
• Familiarity with Terraform or OpenTofu, AWS, Azure, GCP, Kubernetes, chaos engineering, fault injection, local cloud emulators, or resilience testing is valuable.
• English proficiency.

Who Should Apply

This opportunity is suited to engineers who have personally operated production infrastructure and can explain how systems behave under scale, failure, security constraints, and deployment change. It may be a strong fit for cloud infrastructure engineers, platform engineers, DevOps specialists, systems engineers, and SREs who enjoy creating rigorous technical scenarios.

Your work will be especially valuable if you can combine infrastructure automation, testing, and operational judgment with clear technical documentation.

• Cloud infrastructure and platform engineering professionals
• DevOps and SRE practitioners
• Systems engineers with production ownership
• Engineers experienced in resilience, fault injection, or disaster recovery testing

How to Apply Through OpenTrain

Create a free OpenTrain account, build your profile around your cloud infrastructure experience, and apply in minutes. OpenTrain gives contributors one place to manage AI training opportunities and develop a portfolio that reflects their technical work.

• Apply remotely from anywhere worldwide
• Indicate your availability for a 20+ hour weekly workload
• Highlight production platform ownership and relevant cloud technologies
• Showcase infrastructure automation, testing, and reliability experience