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About The Role
Software Engineer – YAML Experience (AI Training)
What if your precision with YAML and configuration systems could directly influence how AI understands and generates structured code for developers around the world? We're looking for detail-oriented Software Engineers to review, author, and evaluate YAML configurations and structured workflows — helping ensure AI-generated outputs are accurate, well-formed, and production-ready.
This is a fully remote, flexible contract role built for engineers who love working close to the metal — configuration, schemas, and system logic are your comfort zone.
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 AI-generated YAML and structured configurations for accuracy, consistency, and schema compliance
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 catch errors before they impact downstream systems
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
Highly detail-oriented — you catch subtle errors and inconsistencies that others miss
Familiar with version control workflows (e.g., Git) and structured engineering processes
Able to work independently and follow precise technical requirements
Self-motivated and consistent when working asynchronously
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
Background in DevOps, platform engineering, or systems architecture
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 understands and produces real-world code
Potential for ongoing work and contract extension as new projects launch
Work arrangement
Yes
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