Kubernetes Task Auditor

Cashback24x7; Indiana; Hybrid; USD 96,000 - 124,000; Part time

Benefits offered by this job

Referral bonus

Job summary

Mercor is seeking a Kubernetes-focused contractor to evaluate tasks used to train frontier AI models. You will assess cluster-operations scenarios, manifest correctness, and failure-mode troubleshooting, delivering rubric-based, actionable feedback to improve production readiness.

The role is fully remote in the United States and paid hourly. You will work with leading AI labs, contributing to the quality and reliability of AI training pipelines.

Qualifications

• 3+ years hands-on production Kubernetes experience.
• Deep understanding of cluster internals: CNI/DNS/ingress, PV/PVC, RBAC, and failure modes.
• Experience authoring and reviewing manifests/Helm charts and debugging live cluster incidents.
• Proficiency in Go, Python, or TypeScript.

Responsibilities

• Evaluate Kubernetes tasks used to train frontier AI models.
• Assess cluster-operations scenarios and manifest correctness.
• Troubleshoot failure modes and provide rubric-based feedback.
• Provide clear, actionable feedback for production readiness.

Skills

Kubernetes

Go

Python

TypeScript

Tools

Helm charts

Istio

Prometheus

Job description

Company: Mercor

Compensation: $70-$90 per hour

Commitment: Hourly contract

Location: Remote — United States

Referral Reward: Earn up to $1,440 per successful referral.

Referral Link: https://t.mercor.com/vN5Ja

Location requirements

United States

Evaluate the quality, correctness, and production-readiness of Kubernetes tasks used to train and evaluate a frontier AI lab's models. You'll assess cluster-operations scenarios, manifest correctness, and failure-mode troubleshooting — and provide clear, rubric-based written feedback.

Basic Qualifications

• 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 Qualifications

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

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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. Payments are weekly on Stripe or Wise based on services rendered. Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.