Software Engineer - YAML Experience
Unknown
July 27, 2026 at 6:31 AM
About The Role
Software Engineer – YAML Experience (AI Training)
What if your hands-on engineering skills could directly influence how AI systems understand configuration, structure, and logic? We're looking for detail-driven Software Engineers with real-world YAML experience to help evaluate, author, and validate the configuration workflows that power cutting-edge AI and data systems.
This is a fully remote, flexible contract role. If you're an engineer who genuinely enjoys working close to the metal — schemas, config files, structured data, and system logic — this is the role for you.
Software Engineer – YAML Experience (AI Training)
What if your hands-on engineering skills could directly influence how AI systems understand configuration, structure, and logic? We're looking for detail-driven Software Engineers with real-world YAML experience to help evaluate, author, and validate the configuration workflows that power cutting-edge AI and data systems.
This is a fully remote, flexible contract role. If you're an engineer who genuinely enjoys working close to the metal — schemas, config files, structured data, and system logic — this is the role for you.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Author, review, and maintain YAML files used for configuration, data pipelines, and system definitions
- Evaluate YAML structures for accuracy, consistency, and compliance with required schemas
- Identify formatting errors, logical inconsistencies, and edge cases in configuration files
- 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
- Work independently and asynchronously — fully on your own schedule
- 1+ year of professional Software Engineering experience
- Comfortable working with YAML in real-world production or data-driven environments
- Highly detail-oriented — you notice subtle errors and inconsistencies others miss
- Familiar with version control workflows (e.g., 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
- 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 understood
- Potential for ongoing work and contract extension as new projects launch