Job description
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
For details about the interview process and platform information, please check:
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PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.