Kubernetes Expert - Fully Remote | Upto $90/hr

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