Kubernetes Task Auditor
Mercor (client confidential) · Remote — United States · Remote
- Pay
- $70–90/hr
- Commitment
- hourly
- Hours / week
- ~40
- Source
- mercor
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Get jobs matched to your experienceAbout 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
Eligible applicant countries
This role accepts applicants from:
- USA
Skills & domains
- ai-training
- rlhf
- sme
- annotation
- Software Engineering

