Docker developer
Micro1 • Remote • Posted 83 days ago
Education
Any
Type
Pay Rate
$25/task
Posted
83d ago
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Job Summary
We are seeking a talented Docker Developer to join our customer’s innovative team, focusing on robust containerization and orchestration solutions for AI training applications. In this role, you will play a pivotal part in developing and optimizing Docker environments that fuel state-of-the-art AI systems, collaborating remotely with passionate engineers and stakeholders.
Key Responsibilities
Design, build, and maintain Docker-based infrastructure for scalable AI training workloads. Develop, implement, and optimize CI/CD pipelines to enhance development efficiency and deployment reliability. Collaborate closely with machine learning engineers and software developers to containerize applications and streamline workflows. Troubleshoot, diagnose, and resolve Docker-related issues to ensure seamless operations in production and development. Document technical processes and effectively communicate best practices to team members in both written and verbal forms. Continuously monitor, assess, and improve existing containerized environments for security, performance, and scalability. Participate in code reviews and share knowledge with fellow engineers to elevate team capabilities.
Required Skills and Qualifications
Minimum 2 years of professional experience developing and managing Docker environments. Proven expertise in creating and maintaining CI/CD pipelines using modern tools and methodologies. Strong written and verbal communication skills, with a commitment to clear documentation and team collaboration. Experience supporting or enabling AI training workflows through containerization. Bachelor’s degree or higher in Computer Engineering, Software Engineering, or a related field. Proficiency with DevOps practices and a deep understanding of container lifecycle management. Demonstrated ability to work effectively in a remote and distributed team setting.
Preferred Qualifications
Practical exposure to AI and machine learning operational pipelines. Experience integrating Docker with cloud platforms (e.g., AWS, GCP, Azure). Knowledge of container orchestration tools (e.g., Kubernetes, Docker Swarm).
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
Key Responsibilities
- Design, build, and maintain Docker-based infrastructure for scalable AI training workloads.
- Develop, implement, and optimize CI/CD pipelines to enhance development efficiency and deployment reliability.
- Collaborate closely with machine learning engineers and software developers to containerize applications and streamline workflows.
- Troubleshoot, diagnose, and resolve Docker-related issues to ensure seamless operations in production and development.
Compensation Analysis
Work from anywhere, at any time. This fully remote position ($25/hr) breaks down geographic barriers, allowing you to earn US-competitive rates regardless of your local market. It is a perfect stepping stone for building a career in the data labeling and AI training ecosystem.
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Frequently Asked Questions
How is this different from the others?
Global Access. Micro1 is more open to international applicants (outside the US/UK) than DataAnnotation or Outlier.
What is the catch?
Privacy. Micro1 projects often require you to install time-tracking software that takes screenshots of your desktop while you work to ensure you are actually working. If you are uncomfortable with monitoring software, this might not be for you.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.
What is the interview like?
You will likely be screened by "Zara", an AI recruiter. Treat this like a real video interview—speak clearly, ensure you have good lighting, and be ready to answer technical questions verbally, as the transcript is reviewed by human managers.