Kubernetes Expert - Fully Remote | Upto $90/hr
$90 per hourMercor
San Francisco, CA
- Remote job
Job Description
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)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to: View email address on ziprecruiter.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Vacancy posted 15 days ago
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