About the Role
What if your precision with YAML configurations and structured data could directly influence how AI systems understand and operate in the real world? We're looking for detail-oriented Software Engineers to review, author, and evaluate YAML-based configurations and workflows — helping ensure the AI systems powering tomorrow's technology are built on a solid, reliable foundation.
This is a fully remote, flexible contract role designed for engineers who love working close to the metal — configuration files, schemas, and system logic are your natural habitat.
- 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
- Ensure YAML structures are accurate, well-organized, and compliant with required schemas
- 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 sharp attention to detail to prevent errors that could 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 catch subtle errors and inconsistencies others miss
- Familiar with version control workflows (e.g., Git) and structured engineering processes
- Self-motivated and able to follow precise technical requirements without hand-holding
- Clear and concise written communicator
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
- Background in DevOps, platform engineering, or backend systems
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 deployed at scale
- Potential for ongoing work and contract extension as new projects launch