DevOps Expert
$20 - $40/hour
pay
Required Skills
DevOps
Kubernetes
Docker
AWS
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: DevOps Expert

Job Type: Contractor

Location: Remote

Job Summary:

We are seeking an accomplished DevOps Expert to become an integral part of our customer’s team. You will play a pivotal role in shaping and advancing cutting-edge AI model training and evaluation workflows, leveraging your DevOps expertise to deliver scalable, reliable, and secure solutions. This is a challenging opportunity to bridge DevOps best practices with innovative AI technologies in a dynamic remote environment.

Key Responsibilities:

Design, implement, and manage robust CI/CD pipelines to automate AI model training and evaluation processes.
Deploy, monitor, and optimize scalable environments using Kubernetes and Docker on AWS infrastructure.
Collaborate closely with data scientists and AI engineers to streamline and improve the model development lifecycle.
Identify and resolve system bottlenecks to enhance performance, reliability, and cost-efficiency.
Develop and maintain comprehensive infrastructure documentation, fostering knowledge sharing in the team.
Drive continuous improvements by integrating DevOps best practices tailored for machine learning workflows.
Ensure the security, compliance, and integrity of cloud-based AI development environments.

Required Skills and Qualifications:

Proven expertise in DevOps methodologies and a track record of success in advanced project environments.
Hands-on experience with Kubernetes for container orchestration and Docker for containerization.
In-depth proficiency with AWS services and managing cloud-native infrastructure at scale.
Exceptional written and verbal communication skills; able to convey complex technical concepts clearly.
Strong problem-solving skills and the ability to thrive in collaborative, remote-first teams.
Demonstrated ability to automate infrastructure and streamline workflows for technical teams.
Proficiency in infrastructure as code (IaC) tools and best practices.

Preferred Qualifications:

Prior experience supporting AI model training, evaluation, or machine learning operations (MLOps).
Experience optimizing DevOps for data-driven and AI-centric projects.
Certifications related to AWS, Kubernetes, or DevOps engineering.
Apply now
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