Posted over 30 days ago. Roles like this often stay open for a while, so it's still worth applying.
Kubernetes Task Auditor at Mercor
posted 1 month agoKubernetes Task Auditor | $70–90/hr | Remote (US)
Join a cutting-edge AI initiative as a Kubernetes Task Auditor, evaluating the quality, correctness, and production-readiness of Kubernetes tasks used to train and assess frontier AI models. This is a high-impact contract role for seasoned Kubernetes professionals who can think critically and communicate clearly.
What You'll Do
- Assess cluster-operations scenarios for technical accuracy and real-world applicability
- Review Kubernetes manifests for correctness, best practices, and production-readiness
- Evaluate failure-mode troubleshooting tasks (e.g., CrashLoopBackOff, OOMKilled, scheduling/eviction issues)
- Provide structured, rubric-based written feedback to guide AI model improvement
Required Qualifications
- 3+ years of hands-on production Kubernetes experience (EKS, GKE, AKS, or self-managed clusters)
- Deep knowledge of cluster internals: CNI/DNS/ingress, PV/PVC storage, RBAC, and common failure modes
- Proven experience authoring and reviewing manifests and Helm charts, and debugging live cluster incidents
- Proficiency in Go, Python, or TypeScript
Preferred Qualifications
- CKA or CKAD certification
- Experience with service meshes, autoscaling, and observability tools (Istio, HPA, Prometheus/Grafana)
- Background in SRE, platform engineering, or AI task grading
This is a flexible, hourly contract role ideal for experienced Kubernetes engineers looking to contribute to the future of AI development.
How to apply for this role
- Upload your resume — keep it up-to-date and in English. Mercor will auto-fill your profile from it.
- Complete the AI interview — a 15-minute conversation about your experience. Be ready to discuss specific projects and challenges you've solved.
- Submit your application — only about 20% of applicants finish all the steps, so completing yours puts you well ahead.