Docker developer
$15 - $35/hourpay
Required Skills
Docker
CI/CD
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.
Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.
Job Description
Job Title: Docker Developer
Job Type: Contract
Location: Remote
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).