Kubernetes Task Auditor
Mercor
$70 – $90/hour · as listed
Evaluate Kubernetes configurations and cluster-operations tasks for an AI lab's model training pipeline. As a Kubernetes Task Auditor, you'll review task quality, correctness, and production readiness—assessing manifest accuracy, cluster scenarios, and troubleshooting approaches. Your role involves providing structured written feedback based on defined rubrics to support AI training data work at scale. This is intermediate-level remote work suited to engineers with strong hands-on Kubernetes experience in production environments.
You'll work 40 hours per week on the Mercor platform as an independent contractor. The position pays $70–$90 per hour and is based in the United States. You should have at least 3+ years of direct experience managing Kubernetes clusters (EKS, GKE, AKS, or self-managed infrastructure) and a solid grasp of cluster operations, deployment patterns, and failure scenarios.
This role fits experienced DevOps and platform engineers looking for structured, specialized AI data work that leverages their production Kubernetes expertise.
From the listing: Mercor marketplace · hourly · 40h/week. 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 un
Applications are completed on the listing’s own site. Pay is shown as posted by the source (“as listed”) or the aggregator’s estimate where marked — offers and availability change, and individual results vary.
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