About the role
About The Role 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-BasedLocation: RemoteCommitment: 10–40 hours/week What You'll Do Author, review, and evaluate YAML files used for configuration, data pipelines, and system definitionsAssess whether YAML structures are accurate, well-organized, and compliant with required schemasIdentify formatting issues, logical inconsistencies, and edge cases in AI-generated configuration filesApply rigorous attention to detail to catch errors that could impact downstream systemsCollaborate asynchronously with engineers and researchers to support data quality and system reliabilityComplete task-based assignments independently on your own schedule Who You Are 1+ year of professional Software Engineering experienceComfortable working with YAML in real-world production or data-driven environmentsHighly detail-oriented — you instinctively catch subtle errors and inconsistenciesFamiliar with version control workflows such as Git and structured engineering processesAble to work independently and follow precise technical requirements without hand-holding Nice to Have Experience with configuration-driven systems, CI/CD pipelines, or infrastructure toolingExposure to schema validation, linting, or structured data formats such as JSON or XMLPrior experience supporting AI, data, or automation workflowsBackground in DevOps, platform engineering, or backend development Why Join Us Work on cutting-edge AI projects alongside leading research labsFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, task-based workMake a direct, tangible impact on how AI understands and produces structured codePotential for ongoing work and contract extension as new projects launch
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