Kubernetes Task Auditor at Mercor

Kubernetes Task Auditor | $70–90/hr | Remote (US)

Join a cutting-edge AI initiative as a Kubernetes Task Auditor, evaluating the quality, correctness, and production-readiness of Kubernetes tasks used to train and assess frontier AI models. This is a high-impact contract role for seasoned Kubernetes professionals who can think critically and communicate clearly.

What You'll Do

• Assess cluster-operations scenarios for technical accuracy and real-world applicability
• Review Kubernetes manifests for correctness, best practices, and production-readiness
• Evaluate failure-mode troubleshooting tasks (e.g., CrashLoopBackOff, OOMKilled, scheduling/eviction issues)
• Provide structured, rubric-based written feedback to guide AI model improvement

Required Qualifications

• 3+ years of hands-on production Kubernetes experience (EKS, GKE, AKS, or self-managed clusters)
• Deep knowledge of cluster internals: CNI/DNS/ingress, PV/PVC storage, RBAC, and common failure modes
• Proven experience authoring and reviewing manifests and Helm charts, and debugging live cluster incidents
• Proficiency in Go, Python, or TypeScript

Preferred Qualifications

• CKA or CKAD certification
• Experience with service meshes, autoscaling, and observability tools (Istio, HPA, Prometheus/Grafana)
• Background in SRE, platform engineering, or AI task grading

This is a flexible, hourly contract role ideal for experienced Kubernetes engineers looking to contribute to the future of AI development.