Software Engineer - YAML Experience

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

Author, review, and evaluate YAML files to ensure AI-generated outputs are structurally accurate and production-ready. Collaborate with researchers to improve the logical consistency and data quality of AI-driven software infrastructure.

Requires at least one year of professional software engineering experience with a strong proficiency in YAML and version control workflows. Candidates must be highly detail-oriented and capable of working independently on task-based assignments.

• CI/CDSouhaitée
• GitSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• YAML
• Software Engineering
• Configuration Management
• Git
• Schema Validation
• Data Pipelines
• CI/CD
• JSON
• XML
• DevOps
• Platform Engineering
• Site Reliability Engineering

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

Expérience minimale

0+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Entry level