Cloud / DevOps Infrastructure AI Training Engineer

About OpenTrain
OpenTrain is the centralized, open platform where AI training and data-labeling freelancers find work, consolidate opportunities across platforms, and build a unified AI training portfolio they control. We make specialized AI training work easier to track, apply for, and grow into a durable freelance career.

About this role
OpenTrain is recruiting for a Cloud / DevOps Infrastructure AI Training Engineer to join an elite GenAI team building foundational large language models. In this role you will directly influence the quality of AI training and inference infrastructure data by designing tasks, evaluating solutions, and developing evaluation frameworks for cloud and Kubernetes engineering topics.

What you will do
- Guide research and engineering teams to close knowledge gaps and improve AI model performance in cloud infrastructure, Kubernetes operations, and Infrastructure-as-Code topics.
- Design challenging, domain-relevant tasks and write accurate, well-structured solutions for cluster diagnosis, AWS service integration, and infrastructure automation problems.
- Evaluate infrastructure engineering tasks and solutions and provide clear, written technical feedback.
- Develop guidelines and detailed rubrics to assess cluster failure diagnosis, IaC design quality, and CI/CD pipeline reasoning across tasks.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Required skills
- 4+ years of dedicated professional experience in cloud infrastructure, DevOps, site reliability, or platform engineering at a recognized, top-tier organization.
- Hands-on production experience operating Kubernetes, including diagnosing and repairing cluster failures, not solely authoring manifests or using a managed control plane.
- Production experience with Infrastructure-as-Code, specifically Terraform and/or AWS CDK.
- Direct experience integrating AWS services in production, including Lambda, API Gateway, and DynamoDB.
- Experience building and owning CI/CD pipelines.
- Demonstrable career progression.
- Ability to engage reliably for at least 40 hours per week during weekdays.
- Strong written communication skills and the ability to explain complex technical decisions clearly.

Helpful background
- Experience working on AI model training data or evaluation projects is a plus.