Thriveth

The AI job market, made clearer

Find work worth
your expertise.

Back to all jobs

Kubernetes Task Auditor

Evaluate the quality, correctness, and production-readiness of Kubernetes tasks used to train and evaluate a frontier AI lab's models.

United States
Hiring companyMercor
Application processN/ANo approved reviews yet
Work experienceN/ANo approved reviews yet

About the role

Contract and Payment Terms

  • You will be engaged as an independent contractor.
  • This is a fully remote role that can be completed on your own schedule.
  • Projects can be extended, shortened, or concluded early depending on needs and performance.
  • Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.

Responsibilities

  • You'll assess cluster-operations scenarios, manifest correctness, and failure-mode troubleshooting — and provide clear, rubric-based written feedback.

Required skills

  • 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 skills

  • CKA / CKAD certification.
  • Service-mesh, autoscaling, and observability experience (Istio, HPA, Prometheus/Grafana).
  • Prior SRE / platform-engineering or task-grading experience.

Eligibility

Work arrangement: Fully remote

Eligible countries: United States

  • Please note: We are unable to support H1-B or STEM OPT candidates at this time.

Compensation details

  • Payments are weekly on Stripe or Wise based on services rendered.
More about the hiring companyMercor
Find AI-training work. Know what to expect.

Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.