> Markdown version of [/jobs/ext/1917318-devops-engineer-for-ai-model-training](https://www.wearedevelopers.com/jobs/ext/1917318-devops-engineer-for-ai-model-training). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevOps Engineer for AI Model Training - **Company:** Johns Hopkins Applied Physics Laboratory - **Location:** Washington, DC, United States (Remote available) - **Salary:** $100,000.0 - $245,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, DevOps, Machine Learning, Containerization, Docker - **Published:** August 4, 2026 - **Apply:** https://www.careerjet.com/job/register/us02c60a456464f1a55c37129585ee563a ## About the Role * Professional experience with CI/CD pipelines. * Experience managing cloud infrastructure on AWS, GCP, or Azure. * Familiarity with containerization and orchestration tools, such as Docker and Kubernetes. * Strong verbal and written communication skills. * Ability to work independently in a remote environment. ## Description * Contribute to training and evaluating AI models that require DevOps and platform engineering expertise. * Create tasks and deliverables that reflect real world engineering scenarios. * Provide domain specific feedback to improve frontier AI research and model behavior. * Work independently on remote projects, following client and project requirements., * Typical project time commitment varies, commonly 15 to 30 hours per week, projects vary in scope and duration. * Matching to projects happens on a rolling basis as opportunities become available. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)