Software Engineer - YAML Experience

Job summary

Author, review, and maintain YAML configuration files, and evaluate AI-generated YAML for accuracy, structure, schema compliance, and logical consistency. Work independently on task-based assignments and collaborate with engineers and researchers to improve system reliability and data quality.

Job details

About The Role Software Engineer – YAML Experience (AI Training) What if your precision with configuration files and structured data could directly influence how AI understands and generates code for engineers around the world? We're looking for Software Engineers with hands-on YAML experience to evaluate, author, and improve AI-generated configuration workflows — helping ensure that the systems AI produces are accurate, logical, and production-ready. This is a fully remote, flexible contract role ideal for engineers who thrive in the details — people who genuinely enjoy working close to schemas, data structures, and system logic. 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 Evaluate AI-generated YAML for accuracy, structure, and schema compliance 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 meticulous attention to detail to catch errors before they 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 spot subtle errors and inconsistencies that others miss Familiar with version control workflows (e.g., Git) and structured engineering processes Self-motivated and able to work independently following precise technical requirements 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 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 real engineering configurations Potential for ongoing work and contract extension as new projects launch

What you’ll do

Author, review, and maintain YAML configuration files, and evaluate AI-generated YAML for accuracy, structure, schema compliance, and logical consistency. Work independently on task-based assignments and collaborate with engineers and researchers to improve system reliability and data quality.

Requirements

Requires at least one year of professional software engineering experience, practical experience with YAML in production or data-driven environments, and familiarity with Git and structured engineering workflows. Candidates should be detail-oriented, self-motivated, and able to work independently; experience with CI/CD, infrastructure tooling, schema validation, linting, JSON, XML, or AI and automation workflows is a plus.

Benefits

• Fully Remote
• Flexible Schedule
• Freelance Autonomy
• Potential for Ongoing Work and Contract Extension

Listed skills

• CI/CD · Preferred
• Git · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• YAML
• Software Engineering
• Configuration Management
• Structured Data
• Schema Compliance
• Git
• Version Control
• Data Pipelines
• Configuration-Driven Systems
• CI/CD
• Infrastructure Tooling
• Schema Validation
• Linting
• JSON
• XML
• AI Training

Job areas

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

More jobs from Alignerr