AI Summary
Review, author, and evaluate YAML configurations for AI-generated code. Highly detail-oriented role with flexible remote work.
Key Highlights
Directly influence AI understanding and generation of structured code
Work closely with engineers and researchers to ensure data quality
Complete task-based assignments independently with precise technical requirements
Key Responsibilities
Author, review, and evaluate YAML files for configuration, data pipelines, and system definitions
Assess YAML structures for accuracy, organization, and schema compliance
Identify and resolve formatting issues, logical inconsistencies, and edge cases in AI-generated configurations
Collaborate asynchronously with engineers and researchers to support data quality and system reliability
Technical Skills Required
Benefits & Perks
Fully remote and flexible work
Potential for ongoing work and contract extension
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
Background in DevOps, platform engineering, or backend development
Job Description
About The Role
Software Engineer – YAML Experience (AI Training)
What if your precision with YAML and configuration systems could directly influence how AI understands and generates structured code for developers around the world? We're looking for detail-oriented Software Engineers to review, author, and evaluate YAML configurations — helping ensure AI-generated outputs are accurate, well-structured, and production-ready.
This is a fully remote, flexible contract role ideal for engineers who love working close to configuration, schemas, and system logic. If you're the kind of engineer who notices a misaligned indent or a subtle schema violation before anyone else does, this role was built for you.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly Contract / Task-Based
- Location: Remote
- Commitment: 10–40 hours/week
- Author, review, and evaluate YAML files used for configuration, data pipelines, and system definitions
- Assess whether YAML structures are accurate, well-organized, and compliant with required schemas
- Identify formatting issues, logical inconsistencies, and edge cases in AI-generated configuration files
- Apply rigorous attention to detail to catch errors that could impact downstream systems
- Collaborate asynchronously with engineers and researchers to support data quality and system reliability
- Complete task-based assignments independently on your own schedule
Interested in remote work opportunities in Development & Programming? Discover Development & Programming Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 1+ year of professional Software Engineering experience
- Comfortable working with YAML in real-world production or data-driven environments
- Highly detail-oriented — you instinctively catch subtle errors and inconsistencies
- Familiar with version control workflows such as Git and structured engineering processes
- Able to work independently and follow precise technical requirements without hand-holding
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- 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 development
- 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 structured code
- Potential for ongoing work and contract extension as new projects launch
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