Software Engineer - YAML Experience
Alignerr · United States
- Hybrid
- Contract
- $60,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Review and author YAML for AI training.
- Ensure AI-generated YAML accuracy.
- Identify and fix formatting errors.
- Work independently on flexible schedule.
- Contribute to cutting-edge AI 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)
- Structured Data
- Problem-Solving
- Attention to Detail
Skills & topics
- Software Engineer
- YAML
- AI Training
- Configuration
- Data Pipelines
- Schema
- Git
- Remote
- Contract
- Developer
How to get hired
- Tailor your resume: Highlight your 1+ year of software engineering experience and specific YAML expertise for AI training roles.
- Showcase your detail orientation: Provide examples of how you identify subtle errors in configurations or code.
- Emphasize remote work skills: Detail your experience with asynchronous collaboration and independent task completion.
- Use keywords wisely: Incorporate terms like YAML, AI training, configuration, schema compliance, and Git into your application.
- Prepare for technical questions: Be ready to discuss your experience with YAML, data pipelines, and structured data formats.
Technical preparation
Master YAML syntax and best practices.,Practice validating YAML against schemas.,Review Git workflows and pull requests.,Study data pipeline concepts.
Behavioral questions
Describe a time you found a subtle error.,How do you manage tasks independently?,How do you ensure accuracy in your work?,Explain your approach to following requirements.
Frequently asked questions
- What specific YAML experience is Alignerr looking for in a Software Engineer candidate?
- Alignerr seeks Software Engineers with hands-on experience working with YAML in real-world production or data-driven environments. This includes authoring, reviewing, and maintaining YAML files for configuration, data pipelines, and system definitions. Exceptional attention to detail and familiarity with structured engineering processes are crucial.
- Is this Software Engineer role at Alignerr remote, and what are the work arrangements?
- Yes, this Software Engineer role with Alignerr is fully remote. It's an hourly contract/task-based position with flexible commitment of 10-40 hours per week, allowing you to work on your own schedule.
- What kind of impact can a Software Engineer have in this YAML experience role at Alignerr?
- As a Software Engineer focusing on YAML experience, you will directly influence how AI systems understand and generate structured code. Your work ensures AI tools for software development are accurate, consistent, and production-ready, making a tangible impact on AI's production of real-world code.
- What are the 'nice to have' qualifications for the Software Engineer position at Alignerr?
- While not required, Alignerr appreciates candidates with experience in 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 a plus.
- How does Alignerr leverage Labelbox for this Software Engineer role?
- The job description mentions 'Alignerr (Powered by Labelbox)', suggesting that Labelbox's platform or expertise might be utilized in the AI training and data labeling aspects of the projects this Software Engineer will contribute to.