About The Role

Software Engineer – YAML Experience (AI Training)

What if your deep understanding of configuration, structured data, and system logic could directly influence how AI reasons about software infrastructure for engineers worldwide? We're looking for detail-oriented Software Engineers with hands-on YAML experience to review, author, and evaluate configuration-driven workflows — helping ensure AI-generated outputs are precise, well-structured, and production-ready.

This is a fully remote, flexible contract role built for engineers who love working close to the metal — schemas, pipelines, configuration files, and the logic that holds systems together.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly Contract / Task-Based
• Location: Remote
• Commitment: 10–40 hours/week
  
  

What You'll Do

• Author, review, and evaluate YAML files used for configuration, data pipelines, and system definitions
• Assess AI-generated YAML for structural accuracy, schema compliance, and logical consistency
• Identify formatting issues, edge cases, and subtle errors that could impact downstream systems
• Collaborate with engineers and researchers to support reliable system behavior and data quality
• Apply rigorous attention to detail across a variety of configuration-driven tasks and workflows
• Complete task-based assignments independently 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 the subtle inconsistencies others miss
• Familiar with version control workflows (e.g., Git) and structured engineering processes
• Self-motivated and able to follow 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
• Background in DevOps, platform engineering, or site reliability engineering
  
  

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 generates software configuration
• Potential for ongoing work and contract extension as new projects launch