Software Engineer - YAML Experience

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 — helping ensure AI-generated outputs are accurate, well-structured, and production-ready.

This is a fully remote, flexible contract role ideal for engineers who love working close to configuration, schemas, and system logic. If you're the kind of engineer who notices a misaligned indent or a subtle schema violation before anyone else does, this role was built for you.

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

• Author, review, and evaluate YAML files used for configuration, data pipelines, and system definitions
• Assess whether YAML structures are accurate, well-organized, and compliant with required schemas
• Identify formatting issues, logical inconsistencies, and edge cases in AI-generated configuration files
• Apply rigorous attention to detail to catch errors that could impact downstream systems
• Collaborate asynchronously with engineers and researchers to support data quality and system reliability
• Complete task-based assignments independently on your own schedule

• 1+ year of professional Software Engineering experience
• Comfortable working with YAML in real-world production or data-driven environments
• Highly detail-oriented — you instinctively catch subtle errors and inconsistencies
• Familiar with version control workflows such as Git and structured engineering processes
• Able to work independently and follow precise technical requirements without hand-holding

• 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 backend development

• 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 structured code
• Potential for ongoing work and contract extension as new projects launch