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.
We run a private GPU cluster — 200 A100s across two data centers on the East Coast. Our clients rent compute for model training, and our infrastructur...
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.
AI API platforms get abused in creative ways — one client sends 10,000 requests in a burst, another distributes the same volume across 100 API keys, a...
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 to 100% of traffic is gambling. Canary deployments route 5% of traffic to the new version first, compare its behavior ag...
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.
A digital twin is a living simulation of a physical system — updated with real-time sensor data, calibrated against actual performance, and used to pr...
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.
Managing 400 GPUs across three cloud regions sounds straightforward until a training job in us-east consumes 64 A100s for 72 hours, a client in eu-wes...
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.
Vector search is easy at 1 million documents. At 500 million, everything breaks — index sizes exceed memory, query latency spikes, and the cost of re-...
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 deploy ML models for 20 clients, and each deployment is a production system that real users depend on. When a model serving endpoint goes down at 2...
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 creative platform generates 2 million images per day for e-commerce product listings. Each request needs to match brand guidelines, maintain produ...
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.
Fourteen ML teams deploy models independently, and nobody knows what's in production. Model versions are tracked in spreadsheets. Rollback procedures...
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.
Training ML models on sensitive data without exposing individual records is the defining challenge of enterprise AI adoption. Our privacy engineering...
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