• 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