Kubernetes Task Auditor
Mercor · 100% remote · Contract · Posted
- Pay
- $70–90/hr
- Location
- United States
- Languages
- English
- Hours
- Flexible
- Openings
- Not listed
- Level
- Experienced
Summary
Evaluate Kubernetes tasks for quality and production-readiness, assess cluster operations and manifest correctness, and provide rubric-based written feedback.
What you'll do
- Evaluate Kubernetes tasks for quality and production-readiness
- Assess cluster-operations scenarios
- Verify manifest correctness
- Troubleshoot failure-mode scenarios
- Provide rubric-based written feedback
Requirements
- Have 3+ years of production Kubernetes experience
- Understand cluster internals (CNI, DNS, ingress, PV/PVC, RBAC)
- Know failure modes (CrashLoopBackOff, OOMKilled, scheduling/eviction)
- Author and review manifests and Helm charts
- Debug live cluster incidents
- Be proficient in Go, Python, or TypeScript
Skills
- Kubernetes
- Helm
- Go
- Python
- TypeScript
- Prometheus
- Grafana
- Istio
Full description
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
Location: open to applicants in United States.
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