Software Engineer - YAML Experience

About The Role

What if your eye for precision and command of YAML configuration could directly influence how AI systems understand and generate structured code for engineers around the world? We're looking for detail-oriented Software Engineers to review, author, and evaluate YAML-based configurations and workflows — helping ensure the AI tools shaping modern software development are accurate, consistent, and production-ready. This is a fully remote, flexible contract role ideal for engineers who enjoy working close to configuration, schemas, and system logic. If you're the kind of developer who notices a misaligned indent from across the room, this one's for you.

Type

Hourly Contract / Task-Based

Organization

Alignerr (Powered by Labelbox)

Location

Remote

Commitment

10–40 hours/week

What You'll Do

• Author, review, and maintain YAML files used for configuration, data pipelines, and system definitions
• Evaluate AI-generated YAML outputs for structural accuracy, schema compliance, and logical consistency
• Identify formatting issues, edge cases, and subtle errors that could impact downstream systems
• Ensure YAML structures are well-organized and meet precise technical requirements
• Collaborate asynchronously with engineers and researchers to support reliable system behavior and data quality
• Complete task-based assignments independently on your own schedule

Who You Are

• 1+ year of professional Software Engineering experience
• Hands-on experience working with YAML in real-world production or data-driven environments
• Exceptionally detail-oriented — you catch what others miss
• Familiar with version control workflows (e.g., Git) and structured engineering processes
• Self-motivated and comfortable following precise technical requirements independently

Nice to Have

• Experience with configuration-driven systems, CI/CD pipelines, or infrastructure tooling
• Exposure to schema validation, linting, or structured data formats such as JSON or XML
• Prior experience supporting AI, data, or automation workflows