Software Engineer - YAML Experience
- Pay
- $40–$55/hr
- Location
- Worldwide
- Type
- Contract
- Posted
- Jul 18, 2026
- Languages
- English
- Who can apply
- Not available in Kenya, Afghanistan, Burundi, Central African Republic, Republic of the Congo, Cuba, Dr Congo, Eritrea, Guinea, Guinea Bissau, Iran, Iraq, Liberia, Libya, Myanmar, North Korea, Papua New Guinea, Somalia, South Sudan, Sudan, Syria, Vanuatu, Venezuela, Yemen
Software Engineer – YAML Experience (AI Training)
About the Role
What if your precision with configuration files and structured data could directly influence how AI understands and generates code for engineers around the world? We're looking for Software Engineers with hands-on YAML experience to evaluate, author, and improve AI-generated configuration workflows — helping ensure that the systems AI produces are accurate, logical, and production-ready.
This is a fully remote, flexible contract role ideal for engineers who thrive in the details — people who genuinely enjoy working close to schemas, data structures, and system logic.
- 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 for accuracy, structure, and schema compliance
- 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 meticulous attention to detail to catch errors before they 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 spot subtle errors and inconsistencies that others miss
- Familiar with version control workflows (e.g., Git) and structured engineering processes
- Self-motivated and able to work independently following precise technical requirements
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
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 produces real engineering configurations
- Potential for ongoing work and contract extension as new projects launch
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