DevOps Expert

$20 - $40/hourpay

Required Skills

DevOps
Kubernetes
Docker
AWS
About micro1
micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.
Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI.

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:

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


Required Skills and Qualifications:

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


Preferred Qualifications:

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

Apply now

Please note that after completing the interview process, you’ll be added to our talent pool and considered for this and other roles that match your skills.

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