Kubernetes Task Auditor
Quick facts
- Pay
- $70–90 / hour
- Type
- Contract
- Location
- Remote — United States
- Skills
- Python, TypeScript, Kubernetes
- Platform
- Mercor — 291 open jobs
- Typical pay at Mercor
- $42–180/hour · median $85 (135 jobs on our site)
- Apply
- Free to apply — never pay to get AI training work
Pay: $70 – $90/hour
Commitment: Hourly, ~40 h/week
Open to: USA
Field: Software Engineering
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
About Mercor
Mercor is an AI-driven hiring marketplace that places professionals on contracts with leading AI labs. You apply once, complete a short AI interview, and are then matched to open projects.