Contract
$40 - $55/hourly (Verified by employer)
May sponsor international talent
About the job
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 developers 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 ideal for engineers who love working close to configuration, schemas, and system logic. If you're the kind of engineer who notices a misaligned indent or a subtle schema violation before anyone else does, this role was built for you.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly Contract / Task-Based
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 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
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 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
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 development
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 structured code
Potential for ongoing work and contract extension as new projects launch
