Software Engineer - YAML Experience

Job summary

You will author, review, and evaluate YAML configuration files to ensure structural accuracy and logical consistency for AI-driven workflows. You will also collaborate with researchers to identify edge cases and formatting issues to maintain high 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

You will author, review, and evaluate YAML configuration files to ensure structural accuracy and logical consistency for AI-driven workflows. You will also collaborate with researchers to identify edge cases and formatting issues to maintain high data quality.

Requirements

Candidates must have at least one year of professional software engineering experience and a strong proficiency in working with YAML. You should be highly detail-oriented and familiar with version control systems like Git.

Benefits

• Flexible schedule • Remote work • Freelance autonomy

Listed skills

• Git · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• YAML
• Software engineering
• Configuration management
• Data pipelines
• Schema validation
• Git
• CI/CD pipelines
• Infrastructure tooling
• JSON
• XML
• DevOps
• Platform engineering
• Site reliability engineering
• Automation
• System logic

Job areas

• Software
• Engineering
• Technology
• Data & Analytics
• Science & Research