Software Engineer - YAML Experience

Software Engineer – YAML Experience (AI Training)

What if your eye for precision and love of clean, structured configuration could directly influence how AI systems are built and trained? We're looking for Software Engineers with hands‑on YAML experience to help evaluate, author, and refine the configuration logic that powers real‑world AI workflows.

This is a fully remote, flexible contract role designed for engineers who thrive in the details — the kind of person who notices a misaligned indent or a schema mismatch before it ever becomes a problem.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly Contract
• 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
• Ensure YAML structures are accurate, well‑organized, and compliant with required schemas
• Identify formatting issues, logical inconsistencies, and edge cases in configuration files
• Collaborate with engineers and researchers to support reliable system behavior and data quality
• Apply rigorous attention to detail to prevent errors that could impact downstream systems
• Work independently and asynchronously — fully on your own schedule

Who You Are

• 1+ year of professional Software Engineering experience
• Comfortable working with YAML in real‑world production or data‑driven environments
• Highly detail‑oriented — you catch subtle errors and inconsistencies others miss
• Familiar with version control workflows (e.g., Git) and structured engineering processes
• Able to work independently and follow precise technical requirements without hand‑holding

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

Why Join Us

• Work on cutting‑edge AI projects alongside leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task‑based work
• Make a direct, tangible impact on how AI systems are configured and trained
• Potential for ongoing work and contract extension as new projects launch