Alignerr
Software Engineer - YAML Experience
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Software Engineer – YAML Experience (AI Training)
About the Role
Software Engineer – YAML Experience (AI Training)
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
Responsibilities
- 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
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Requirements
- 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
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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
Benefits
- 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
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