Software Engineer - YAML Experience
Alignerr · United States
- Hybrid
- Contract
- $60,000 / year
- United States
Job highlights
- Review and author YAML configurations for AI training.
- Ensure AI-generated YAML is accurate and consistent.
- Identify and fix formatting and logical errors.
- Work remotely on flexible, task-based assignments.
- Contribute to cutting-edge AI development projects.
About the role
Software Engineer - YAML Experience (AI Training)
What if your eye for precision and command of YAML configuration could directly influence how AI systems understand and generate structured code for engineers around the world? We're looking for detail-oriented Software Engineers to review, author, and evaluate YAML-based configurations and workflows — helping ensure the AI tools shaping modern software development are accurate, consistent, and production-ready.
This is a fully remote, flexible contract role ideal for engineers who enjoy working close to configuration, schemas, and system logic. If you're the kind of developer who notices a misaligned indent from across the room, this one's for you.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly Contract / Task-Based
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 outputs for structural accuracy, schema compliance, and logical consistency
- Identify formatting issues, edge cases, and subtle errors that could impact downstream systems
- Ensure YAML structures are well-organized and meet precise technical requirements
- Collaborate asynchronously with engineers and researchers to support reliable system behavior and data quality
- Complete task-based assignments independently on your own schedule
Who You Are
- 1+ year of professional Software Engineering experience
- Hands-on experience working with YAML in real-world production or data-driven environments
- Exceptionally detail-oriented — you catch what others miss
- Familiar with version control workflows (e.g., Git) and structured engineering processes
- Self-motivated and comfortable following 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
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-world code
- Potential for ongoing work and contract extension as new projects launch
Key skills/competency
- Software Engineering
- YAML
- AI Training
- Configuration Management
- Data Pipelines
- Schema Compliance
- Version Control
- Git
- Problem Solving
- Attention to Detail
Skills & topics
- Software Engineer
- YAML
- AI Training
- Configuration
- Data Pipelines
- Schema Compliance
- Remote
- Contract
- Labelbox
- Git
How to get hired
- Tailor your resume: Highlight your 1+ year of software engineering and specific YAML experience. Emphasize attention to detail and familiarity with Git.
- Showcase your YAML skills: Detail projects where you've used YAML for configuration or data pipelines. Mention schema compliance and structured data experience.
- Demonstrate remote work readiness: In your application or cover letter, express your self-motivation and ability to work independently on task-based assignments.
- Prepare for technical questions: Be ready to discuss your experience with YAML intricacies, version control, and structured engineering processes.
- Highlight relevant 'nice-to-haves': If you have experience with CI/CD, infrastructure tooling, or schema validation, make sure to include it.
Technical preparation
Master YAML syntax and best practices.,Practice with Git for version control.,Understand configuration-driven systems.,Familiarize with schema validation.
Behavioral questions
Describe a time you found a subtle error.,How do you ensure accuracy in your work?,How do you manage tasks independently?,How do you collaborate asynchronously with teams?
Frequently asked questions
- What is the commitment level for the Software Engineer - YAML Experience role at Alignerr?
- The Software Engineer - YAML Experience role at Alignerr requires a commitment of 10-40 hours per week, offering flexibility within this range for task-based assignments.
- Is the Software Engineer - YAML Experience position at Alignerr remote?
- Yes, the Software Engineer - YAML Experience position at Alignerr is a fully remote role, allowing you to work from any location.
- What specific experience is required for the Software Engineer - YAML Experience role at Alignerr?
- The role requires at least 1 year of professional Software Engineering experience and hands-on experience with YAML in production or data-driven environments. Exceptional detail-orientation and familiarity with version control workflows like Git are also essential.
- What are the primary responsibilities of a Software Engineer - YAML Experience at Alignerr?
- As a Software Engineer - YAML Experience, you will author, review, and maintain YAML files for configuration and data pipelines, evaluate AI-generated YAML for accuracy and compliance, and identify any structural or formatting issues.
- Does Alignerr offer ongoing work for their Software Engineers with YAML experience?
- Alignerr mentions the potential for ongoing work and contract extensions for Software Engineers with YAML experience, especially as new projects launch.
- What are the 'nice-to-have' qualifications for the Software Engineer - YAML Experience role at Alignerr?
- Nice-to-have qualifications include experience with configuration-driven systems, CI/CD pipelines, infrastructure tooling, schema validation, linting, or structured data formats like JSON or XML. Prior experience supporting AI, data, or automation workflows is also beneficial.
- How does Alignerr ensure AI accuracy with this role?
- Alignerr utilizes Software Engineers to review, author, and evaluate YAML configurations and workflows. This direct human oversight ensures that AI tools used in software development are accurate, consistent, and production-ready.