DevOps Data Labeling Specialist (Experienced Engineer – Remote, Philippines)

[Overview]
We are looking for an experienced engineer to join our DevOps data labeling project.
This is not a traditional development role, but you will use your strong technical background to review, label, and evaluate AI-generated outputs related to DevOps and system operations.
You will play an important role in improving AI accuracy by providing precise technical feedback.

[Responsibilities]
• Label and review data related to DevOps, infrastructure, and system operations.
• Execute and verify tasks in a CLI environment (Linux terminal).
• Run and evaluate scripts, Docker commands, and Python test cases.
• Identify and explain technical issues in AI-generated outputs.
• Follow labeling and review guidelines to ensure accuracy and consistency.
• Work independently, manage your own schedule, and meet deadlines.

[Requirements]
• 5+ years of experience in DevOps, Cloud, or Full-Stack engineering.
• Deep understanding of Linux, Docker, and command-line workflows.
• Strong experience with Bash/Shell scripting and Python.
• Familiar with CI/CD concepts and system debugging.
• Comfortable working fully in a terminal environment (no GUI).
• Excellent attention to detail and ability to analyze system behavior.
• Good written English (no speaking required).
• Stable internet connection and ability to work remotely.
• Must not connect from a China-based IP address.

[Details]
• Type: Part-time Contractor (20+ hours/week)
• Location: Philippines (Remote)
• Rate: USD $20 per hour
• Duration: Project-based, with possible extension

[How to Apply]
If you are a skilled DevOps or software engineer who enjoys working on precise technical labeling tasks, we would love to hear from you. Please submit your application, and shortlisted candidates will be contacted for the next step.