Software Engineer - YAML Experience
About this role
About the Role 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
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