Alignerr
Software Engineer - YAML Experience
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About The Role
Software Engineer – YAML Experience (AI Training)
What if your precision with YAML and configuration systems could directly influence how AI understands and generates structured code for engineers around the world? We're looking for detail-oriented Software Engineers to review, author, and evaluate YAML configurations — helping ensure AI-generated outputs are accurate, well-structured, and production-ready.
This is a fully remote, flexible contract role. If you're an engineer who thrives in the details — spotting subtle inconsistencies, enforcing schema compliance, and thinking carefully about system logic — this role is built for you.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Author, review, and evaluate YAML files used for configuration, data pipelines, and system definitions
- Assess AI-generated YAML outputs for structural accuracy, schema compliance, and logical consistency
- Identify formatting issues, edge cases, and subtle errors that could impact downstream systems
- Collaborate with engineers and researchers to support reliable system behavior and data quality
- Apply meticulous attention to detail to catch problems before they propagate
- Complete task-based assignments independently on your own schedule
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Who You Are
- 1+ year of professional Software Engineering experience
- Hands-on experience working with YAML in real-world production or data-driven environments
- Naturally detail-oriented — you catch what others miss and take pride in precision
- Familiar with version control workflows (e.g., Git) and structured engineering processes
- Self-motivated and comfortable following precise technical requirements independently
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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
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 generates and understands configuration and code
- Potential for ongoing work and contract extension as new projects launch
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