Kubernetes AI Task Auditor - Freelance AI Trainer Project

Triwill Group

Northern (KY)

Hybrid

USD 90,000 - 150,000

Full time

9 days ago
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Job summary

Triwill Group is seeking a Kubernetes AI Task Auditor for a freelance, fully remote role in the United States. You will audit Kubernetes-focused tasks used to train and evaluate AI models, ensuring they are technically accurate, realistic, and practical.

The assignment emphasizes rigorous testing of scenarios to ensure solvability and reliable evaluation criteria. Applicants should have advanced Kubernetes expertise and experience auditing AI training workflows, with a focus on identifying

Qualifications

  • Must have hands-on experience auditing Kubernetes tasks for AI model training.
  • Ability to verify realism, solvability, and reproducibility of AI training tasks.
  • Strong capability to identify orchestration, deployment, and configuration issues.

Responsibilities

  • Audit Kubernetes-focused tasks used to train and evaluate AI models.
  • Provide actionable feedback to improve task reliability and evaluation criteria.
  • Identify and report orchestration, deployment, and logic errors affecting task quality.

Skills

Kubernetes
AI training
Task auditing
Quality assurance

Job description

Description:

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Kubernetes AI Task Auditor - Freelance AI Trainer Project based in United States.

This freelance opportunity is designed for experienced Kubernetes specialists who want to apply their infrastructure expertise to the development and evaluation of AI systems.
You will audit Kubernetes-focused tasks used to train and assess AI models, ensuring they are technically accurate, realistic, and practical.
The role involves rigorously testing complex scenarios to confirm that tasks are solvable, reproducible, and supported by reliable evaluation criteria.
You’ll identify orchestration issues, configuration bugs, deployment problems, and logic errors that could compromise task quality.
Your technical feedback will directly contribute to making AI training workflows more reliable and representative of real-world cloud environments.
The position offers fully remote work and the flexibility of a freelance engagement centered on your Kubernetes specialization.

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