Software Engineer - YAML Experience

About The Role
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

Work arrangement
Yes