Software Engineer
Alignerr
About The Role Software Engineer – YAML Experience (AI Training) What if your precision with configuration files and structured data could directly influence how AI understands and generates code for engineers around the world? We're looking for Software Engineers with hands-on YAML experience to evaluate, author, and improve AI-generated configuration workflows — helping ensure that the systems AI produces are accurate, logical, and production-ready. This is a fully remote, flexible contract role ideal for engineers who thrive in the details — people who genuinely enjoy working close to schemas, data structures, and system logic. Organization: Alignerr (Powered by Labelbox)Type: Hourly ContractLocation: RemoteCommitment: 10–40 hours/week What You'll Do Author, review, and maintain YAML files used for configuration, data pipelines, and system definitionsEvaluate AI-generated YAML for accuracy, structure, and schema complianceIdentify formatting issues, logical inconsistencies, and edge cases in configuration filesCollaborate with engineers and researchers to support reliable system behavior and data qualityApply meticulous attention to detail to catch errors before they impact downstream systemsComplete 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 spot subtle errors and inconsistencies that others missFamiliar with version control workflows (e.g., Git) and structured engineering processesSelf-motivated and able to work independently following precise technical requirements 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 workflows 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 real engineering configurationsPotential for ongoing work and contract extension as new projects launch
Last checked on September 12, 2026. We may earn a commission when you click through.
About this role
About The Role
Software Engineer – YAML Experience (AI Training)
What if your precision with configuration files and structured data could directly influence how AI understands and generates code for engineers around the world? We're looking for Software Engineers with hands-on YAML experience to evaluate, author, and improve AI-generated configuration workflows — helping ensure that the systems AI produces are accurate, logical, and production-ready.
This is a fully remote, flexible contract role ideal for engineers who thrive in the details — people who genuinely enjoy working close to schemas, data structures, and system logic.
Organization: Alignerr (Powered by Labelbox)Type: Hourly ContractLocation: RemoteCommitment: 10–40 hours/week
What You'll Do
Author, review, and maintain YAML files used for configuration, data pipelines, and system definitionsEvaluate AI-generated YAML for accuracy, structure, and schema complianceIdentify formatting issues, logical inconsistencies, and edge cases in configuration filesCollaborate with engineers and researchers to support reliable system behavior and data qualityApply meticulous attention to detail to catch errors before they impact downstream systemsComplete 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 spot subtle errors and inconsistencies that others missFamiliar with version control workflows (e.g., Git) and structured engineering processesSelf-motivated and able to work independently following precise technical requirements
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 workflows
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 real engineering configurationsPotential for ongoing work and contract extension as new projects launch
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