Kubernetes Expert - Fully Remote | Upto $90/hr

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:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on Himalayas