CUDA Engineering Expert
$300 / per-task
Verified partner opportunity
$70 - $90 / hour
Evaluate the quality, correctness, and production-readiness of Kubernetes tasks used to train and evaluate a frontier AI lab's models.
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
This opportunity may suit professionals with relevant experience in AI evaluation, Python. Review the official description and requirements before applying.
The listing states $70 - $90 / hour. Confirm the final rate, workload, and payment terms during the official application process.
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The listing states $70 - $90 / hour. Confirm the final rate, workload, and payment terms during the official application process.
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