Kubernetes Task Auditor
$70 to $90/hIndicative range provided by Mercor
Posted on August 28, 2026 · Applications until December 2, 2026
Only: United States
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This remote role involves evaluating and grading Kubernetes tasks for AI model training by assessing cluster operations and troubleshooting production scenarios. The ideal candidate brings at least three years of hands-on production Kubernetes experience and deep knowledge of cluster internals and failure modes.
Description in English, as published by Mercor.
Evaluate the quality, correctness, and production-readiness of Kubernetes tasks used to train and evaluate a frontier AI lab's models. You'll assess cluster-operations scenarios, manifest correctness, and failure-mode troubleshooting, and provide clear, rubric-based written feedback.
Basic Qualifications • 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 Qualifications • CKA / CKAD certification • Service-mesh, autoscaling, and observability experience (Istio, HPA, Prometheus/Grafana) • Prior SRE / platform-engineering or task-grading experience
3 openings
Only: United States
About Mercor
Mercor is a US marketplace hiring remote experts for AI and consulting projects, from law to engineering. The original posting is on their site.
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