Software Engineer - YAML Experience

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

• 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

• 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

• 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

• 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