About the Role
What if your eye for precision and deep knowledge of YAML configuration could directly influence how AI understands and generates structured code for engineers worldwide? We're looking for detail-driven Software Engineers to review, author, and evaluate YAML configurations that train and improve AI systems — ensuring they produce accurate, well-structured, and logically sound outputs.
This is a fully remote, flexible contract role built for engineers who love working close to configuration, schemas, and system logic. If you find satisfaction in getting the structure exactly right, this role is 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 AI-generated YAML outputs for accuracy, structure, and schema compliance
- Identify formatting issues, logical inconsistencies, and edge cases in configuration files
- Ensure YAML structures are clean, well-organized, and aligned with real-world engineering standards
- 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
Who You Are
- 1+ year of professional Software Engineering experience
- Hands-on experience working with YAML in production or data-driven environments
- Highly detail-oriented — you catch subtle errors before they become real problems
- Familiar with version control workflows (e.g., Git) and structured engineering processes
- Comfortable working independently and following precise technical requirements
- Self-motivated and consistent when managing your own schedule
Nice to Have
- Experience with configuration-driven systems, CI/CD pipelines, or infrastructure tooling
- Exposure to schema validation, linting, or structured data formats like JSON or XML
- Prior experience supporting AI, data, or automation workflows
- Background in DevOps, platform engineering, or site reliability engineering
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 generates real-world code
- Potential for ongoing work and contract extension as new projects launch