Software Engineer, YAML - AI Training (Freelance, Remote)

Expertise in YAML: nested structures, anchors/aliases, schema validation, and common usage in tools like Kubernetes, CI/CD, and cloud configurations. 3–5 years of experience working with YAML in DevOps, infrastructure, or API design is a plus. Bachelor’s degree (or pursuing one) in Computer Science, Information Systems, or related field. Master’s or PhD preferred. Deep interest in AI, declarative configuration, or infrastructure-as-code.

Review YAML configurations for syntax correctness, clarity, and structural consistency. Solve configuration and data modeling tasks using YAML and explain your process. Identify and correct flaws in AI output or unclear hierarchical logic. Summarize your approach and decision-making clearly and concisely.