Software Engineer - YAML Experience

Overview

Software Engineer – YAML Experience (AI Training) What if your precision with YAML configurations could directly influence how AI systems understand and generate structured code for engineers around the world? We are looking for detail-oriented Software Engineers with hands-on YAML experience to evaluate, author, and improve the configuration workflows that power modern AI training pipelines.

Role Details

• 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 rigorous attention to detail to prevent errors that could cascade into 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 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
• 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
• Familiarity with tools like Kubernetes, Ansible, Docker Compose, or similar YAML-heavy environments

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 understand and produce structured code
• Potential for ongoing work and contract extension as new projects launch