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Kubernetes Expert Fully Remote

Mercor


Job Location:

San Francisco, CA - USA

Monthly Salary: Not provided by the employer
Posted: 2 September 2026 (14 hours ago)
Application Deadline: 30 November 2026
Vacancies: 1 Vacancy

Job Summary

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 DAngelo 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 2030 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

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.