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Engineering · Mercor

Kubernetes Task Auditor

Assess the quality, correctness and production-readiness of Kubernetes tasks used to train and evaluate AI models. You review cluster-operations scenarios, manifest correctness and failure-mode troubleshooting, and give clear rubric-based written feedback. Independent contractor, remote, US-based candidates only.

Who it suits

  • 3+ years of hands-on production Kubernetes (EKS, GKE, AKS or self-managed)
  • Deep understanding of cluster internals such as CNI, DNS, ingress, persistent storage, RBAC and failure modes (CrashLoopBackOff, OOMKilled, scheduling and eviction)
  • Experience writing and reviewing manifests or Helm charts and debugging live incidents
  • Proficiency in Go, Python or TypeScript
  • Preferred: CKA or CKAD, service mesh, autoscaling and observability experience

Skills

Kubernetes Helm Cluster troubleshooting RBAC Go or Python Rubric-based review

Estimate your earnings on this role

A hypothetical calculation from the numbers you enter. It is not a promise of work or earnings. Most of the difference between a headline rate and what you take home is how much of your time has paid work in it.

$0 after tax and fees, expected case

SlowExpectedFast
Paid hours
Before tax
After tax and fees
Per month, after tax

Slow assumes 60% of your expected paid hours, fast assumes 125%. The rate used for tasks is the fee, less unpaid tasks, divided by the time one task takes.