Live opening · Posted 5 days ago
The key details from the original listing.
Live timing from JobBeeper.
Description supplied by the original job listing.
About The Role
Software Engineer – YAML Experience (AI Training)
What if your precision with YAML configurations and structured data could directly influence how AI systems understand and operate in the real world? We're looking for detail-oriented Software Engineers to review, author, and evaluate YAML-based configurations and workflows — helping ensure the AI systems powering tomorrow's technology are built on a solid, reliable foundation.
This is a fully remote, flexible contract role designed for engineers who love working close to the metal — configuration files, schemas, and system logic are your natural habitat.
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
Ensure YAML structures are accurate, well-organized, and compliant with required schemas
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 sharp attention to detail to prevent errors that could 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 catch subtle errors and inconsistencies others miss
Familiar with version control workflows (e.g., Git) and structured engineering processes
Self-motivated and able to follow precise technical requirements without hand-holding
Clear and concise written communicator
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 engineering work
Make a direct, tangible impact on how AI systems are configured and deployed at scale
Potential for ongoing work and contract extension as new projects launch
Work arrangement
Yes
Recently tracked roles with full details and direct application links.