Mercor seeks an evaluator to assess Kubernetes tasks used to train frontier AI models. You will review cluster-operations scenarios, manifest correctness, and failure-mode troubleshooting, delivering rubric-based written feedback.
Candidates should have 3+ years of hands-on production Kubernetes experience and deep knowledge of CNI/DNS/ingress, PV/PVC, RBAC, and common failure modes; proficiency in Go, Python, or TypeScript is a plus.
#J-18808-LjbffrKubernetes Task Auditor: Production Readiness & Rubric in Remote at Unknown Company
This position is listed as full time and onsite.