Alignerr is looking for detail-oriented Software Engineers to review, author, and evaluate YAML configurations that influence AI's understanding of structured code. This role involves ensuring that AI-generated outputs are accurate and well-structured while collaborating with engineers and researchers to maintain data quality and system reliability.
Responsibilities:
- Author, review, and evaluate YAML files used for configuration, data pipelines, and system definitions
- Assess whether YAML structures are accurate, well-organized, and compliant with required schemas
- Identify formatting issues, logical inconsistencies, and edge cases in AI-generated configuration files
- Apply rigorous attention to detail to catch errors that could impact downstream systems
- Collaborate asynchronously with engineers and researchers to support data quality and system reliability
- Complete task-based assignments independently on your own schedule
Requirements:
- 1+ year of professional Software Engineering experience
- Comfortable working with YAML in real-world production or data-driven environments
- Highly detail-oriented — you instinctively catch subtle errors and inconsistencies
- Familiar with version control workflows such as Git and structured engineering processes
- Able to work independently and follow precise technical requirements without hand-holding
- 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 development