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Contractor

First seen by Alion on Nov 2, 2026. Mercor scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Mercor is an American company founded in 2023 by three Thiel Fellows that recruits and pays domain experts to produce the training and evaluation data frontier artificial intelligence labs need. Its business shifted quickly from general talent matching to expert data work: as models became competent at ordinary tasks, the scarce input became judgement from practising doctors, lawyers, bankers and engineers, and Mercor sources, vets and pays those people at very large scale. Headquartered in San Francisco and valued in the billions within two years of founding, it pays out enormous sums annually to a contributor network rather than employing them.
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

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