Software Engineer - YAML Experience

About The Role
Software Engineer – YAML Experience (AI Training)
What if your hands-on engineering skills could directly influence how AI systems understand configuration, structure, and logic? We're looking for detail-driven Software Engineers with real-world YAML experience to help evaluate, author, and validate the configuration workflows that power cutting-edge AI and data systems.
This is a fully remote, flexible contract role. If you're an engineer who genuinely enjoys working close to the metal — schemas, config files, structured data, and system logic — this is the role for you.
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
Evaluate YAML structures for accuracy, consistency, and compliance with required schemas
Identify formatting errors, 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 notice 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 engineering work
Make a direct, tangible impact on how AI systems are configured and understood
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes