Software Engineer - YAML Experience

Canada
Remote
Posted Oct 7, 2026
1 position

Opens an external site

Employment type: Contract
Experience level: Entry, Junior · 0+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Entry level

Job summary

Author, review, and evaluate YAML configuration files and workflows, including assessing AI-generated outputs for structural accuracy, schema compliance, and logical consistency. Identify formatting issues and edge cases, and support engineers and researchers in maintaining reliable system behavior and data quality.

Job details

About The Role Software Engineer – YAML Experience (AI Training) What if your deep understanding of configuration, structured data, and system logic could directly influence how AI reasons about software infrastructure for engineers worldwide? We're looking for detail-oriented Software Engineers with hands-on YAML experience to review, author, and evaluate configuration-driven workflows — helping ensure AI-generated outputs are precise, well-structured, and production-ready. This is a fully remote, flexible contract role built for engineers who love working close to the metal — schemas, pipelines, configuration files, and the logic that holds systems together. 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 AI-generated YAML 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 rigorous attention to detail across a variety of configuration-driven tasks and workflows 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 the subtle inconsistencies others miss Familiar with version control workflows (e.g., Git) and structured engineering processes Self-motivated and able to follow precise technical requirements independently 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 site reliability engineering 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 generates software configuration Potential for ongoing work and contract extension as new projects launch

What you’ll do

Requirements

Applicants need at least one year of professional software engineering experience, practical experience with YAML, and familiarity with version control workflows such as Git. They should be detail-oriented, self-motivated, and able to follow technical requirements independently; experience with CI/CD, infrastructure tooling, schema validation, or AI and data workflows is an advantage.