Kubernetes Expert - Fully Remote | Upto $90/hr at mercor

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
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 ( , 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)
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PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas