mercor
Kubernetes Expert - Fully Remote | Upto $90/hr
United States · Remote
About this role
About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Kubernetes Task Auditor Type: Contract Compensation: $70–$90/hour Location: Remote Role Responsibilities Evaluate the quality and correctness of Kubernetes tasks for training and evaluating AI models. Assess cluster-operations scenarios and manifest correctness. Troubleshoot failure modes and provide clear, rubric-based feedback. Review and improve AI model performance by ensuring production-readiness of tasks. Work independently and asynchronously to meet deadlines. Qualifications Must-Have 3+ years hands-on production Kubernetes experience ( EKS/GKE/AKS or self-managed). Deep understanding of cluster internals: CNI/DNS/ingress , PV/PVC storage, RBAC , and failure modes ( CrashLoopBackOff , OOMKilled , scheduling/eviction). Experience authoring and reviewing manifests / Helm charts and debugging live cluster incidents. Proficiency in Go , Python , or TypeScript . Preferred CKA / CKAD certification . Service-mesh, autoscaling, and observability experience ( Istio , HPA , Prometheus/Grafana ). Prior SRE / platform-engineering or task-grading experience. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas
Skills and categories
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