MercorPosted 28 Aug 2026

Kubernetes Task Auditor

Apply on Mercor

Pay

$70–90/hr

Work

Remote · Contract · 40 hrs/wk · Remote — United States

Experience

3+ years

Eligibility

USA

Field

Software engineering

Skills

KubernetesAmazon EKSGoogle GKEAzure AKSKubernetes Cluster InternalsContainer Networking Interface (CNI)DNSIngressPersistent Volumes (PV/PVC)Kubernetes RBACKubernetes Failure TroubleshootingKubernetes ManifestsHelmGoPythonTypeScriptCertified Kubernetes Administrator (CKA)Certified Kubernetes Application Developer (CKAD)IstioHorizontal Pod Autoscaler (HPA)PrometheusGrafanaSite Reliability Engineering (SRE)Platform Engineering

About this role

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

Similar AI training jobs

All AI training jobs