About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Kubernetes Task Auditor Type:Contract Compensation:$70–$90/hour Location:Remote
Role Responsibilities
Evaluate the quality and correctness of Kubernetes tasks for training and evaluating AI models.
Assess cluster-operations scenarios and manifest correctness.
Troubleshoot failure modes and provide clear, rubric-based feedback.
Review and improve AI model performance by ensuring production-readiness of tasks.
Work independently and asynchronously to meet deadlines.
Qualifications
Must-Have
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
CKA / CKAD certification.
Service-mesh, autoscaling, and observability experience (Istio, HPA, Prometheus/Grafana).
Prior SRE / platform-engineering or task-grading experience.
Application Process (Takes 20–30 mins to complete)
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Resources & Support
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PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Mercor connects elite creative and technical talent with leading AI research labs. The company specializes in matching top-tier professionals with AI research organizations to support advanced projects. Mercor facilitates work across multiple domains including financial analysis, hedge fund strategy evaluation, and deal structuring, leveraging AI to enhance model training and research capabilities. The company bridges the gap between specialized talent and cutting-edge AI research institutions.
