Software Engineer - YAML Experience

Job summary

The role involves authoring, reviewing, and maintaining YAML files to improve AI-generated configuration workflows. The engineer will evaluate AI output for accuracy, structure, and schema compliance to ensure production-ready systems.

Job details

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 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 AI-generated YAML for accuracy, structure, and schema compliance Identify formatting issues, logical inconsistencies, and edge cases in configuration files Collaborate with engineers and researchers to support reliable system behavior and data quality Apply meticulous attention to detail to catch errors before they impact downstream systems Complete task-based assignments independently 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 spot subtle errors and inconsistencies that others miss Familiar with version control workflows (e.g., Git) and structured engineering processes Self-motivated and able to work independently following precise technical requirements 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 work Make a direct, tangible impact on how AI understands and produces real engineering configurations Potential for ongoing work and contract extension as new projects launch

What you’ll do

The role involves authoring, reviewing, and maintaining YAML files to improve AI-generated configuration workflows. The engineer will evaluate AI output for accuracy, structure, and schema compliance to ensure production-ready systems.

Requirements

Candidates need at least one year of professional software engineering experience and proficiency with YAML in production environments. Strong attention to detail and familiarity with version control workflows like Git are required.

Listed skills

• Git · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Yaml
• Software Engineering
• Data Structures
• Git
• Schema Validation
• Configuration Management
• AI Training
• CI/CD Pipelines
• Json
• Xml
• Linting
• Data Pipelines

Job areas

• Software
• Technology
• Engineering
• Data & Analytics
• Science & Research