$48.75 - $66.75/hr
Full-time
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Job description
Software Engineer - YAML Experience
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 and structured workflows — helping ensure AI-generated outputs are accurate, well-formed, and production-ready.
This is a fully remote, flexible contract role built for engineers who love working close to the metal — configuration, schemas, and system logic are your comfort zone.
- 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 and structured configurations for accuracy, consistency, 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 rigorous 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
- Hands-on experience working with YAML in real-world production or data-driven environments
- Highly detail-oriented — you catch subtle errors and inconsistencies that others miss
- Familiar with version control workflows (e.g., Git) and structured engineering processes
- Able to work independently and follow precise technical requirements
- Self-motivated and consistent when working asynchronously
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 systems architecture
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
Apply now
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Devops Engineer?
A: To succeed as a DevOps Engineer, key technical skills include proficiency in automation tools such as Ansible, Puppet, or Chef, as well as experience with containerization using Docker and orchestration with Kubernetes. Additionally, strong knowledge of cloud platforms like AWS, Azure, or Google Cloud, and scripting languages like Python or Bash, are essential. Soft skills like effective communication, problem-solving, and collaboration are also crucial, as DevOps Engineers must work closely with cross-functional teams to identify and resolve issues efficiently.
Q: What is the career path for a Devops Engineer?
A: A DevOps Engineer's typical career progression involves starting as a Junior DevOps Engineer, where they focus on implementing automation tools and processes, then advancing to a Mid-Level DevOps Engineer, where they lead teams and develop more complex infrastructure solutions. As they gain experience, they can move into Senior DevOps Engineer or Engineering Manager roles, overseeing large-scale deployments and mentoring junior engineers. Key opportunities for skill development include learning cloud computing, containerization, and security, as well as developing soft skills like communication and project management, which can lead to long-term career prospects in leadership, architecture, or specialized fields like cloud engineering or security consulting.
