Remote positions
Browse vetted remote Kubernetes positions — AI infrastructure, MLOps platforms, GPU cluster orchestration, and model serving at scale.
Top matching AI roles
AI Specialization
Job Type
Experience Level
Full-time roles and fixed-scope freelance missions — matched to your AI skills.
QA engineers spend 2 hours per day setting up test environments — provisioning databases, loading fixtures, configuring services, and waiting for ever...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
Deploying a new model version shouldn't feel like defusing a bomb. Blue-green deployment eliminates the risk: the new model runs alongside the old one...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
We process and analyze 2 million news articles per day across 40 languages for financial intelligence clients. Our NLP pipeline handles entity extract...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
When a traditional API returns a 500 error, you know something broke. When an AI model starts giving subtly wrong answers, nobody notices until the da...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
ML teams shouldn't need to know whether their training job runs on AWS p4d instances, GCP A2 VMs, or Azure NC-series machines. Our abstraction layer l...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
Our ML platform has 3,200 active users who build and deploy models. They keep asking for the same things: a custom data connector, a specific preproce...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
ML engineers know their model is slow but can't tell you why. Is it the attention layers? The tokenizer? The data loading? The GPU memory thrashing? O...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
GPU out-of-memory errors are the most frustrating part of ML development. The error message says "CUDA out of memory" but doesn't tell you where your...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
Our ML platform runs 20 models for internal teams, and the person who built it is now our VP of Engineering. She needs someone to maintain what she bu...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
Our LLM serving infrastructure processes 180 million inference requests per day. At current pricing, that's $2.4M per month in compute costs — and our...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
Role guide
Kubernetes is the standard infrastructure platform for production AI systems at scale. Remote Kubernetes jobs at AI companies involve GPU node pool management, MLOps platform engineering, and autoscaling model serving. These roles sit at the intersection of cloud infrastructure and ML systems.
What Kubernetes roles are available remotely in AI?
Primarily MLOps platform engineering, AI infrastructure, and model serving roles. These positions require strong Kubernetes fundamentals plus ML-specific tooling knowledge (Kubeflow, KServe, GPU scheduling).
Do remote Kubernetes AI jobs require cloud provider experience?
Almost always. EKS (AWS), GKE (Google Cloud), and AKS (Azure) are the most common managed Kubernetes platforms. Most job listings specify a primary cloud provider.
Related job categories
Browse other remote AI jobs
Are you a Kubernetes specialist? Get hired remotely.
Create my profile — it's free