
Cloud Architect
$40 - $120/hourpay
Required Skills
cloud infrastructure
scripting
Kubernetes
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: Cloud Architect
Job Type: Contractor
Location: Remote
Job Summary: As a Cloud Architect, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities:
- Review and assess cloud infrastructure designs, recommending improvements and best practices.
- Create and refine architecture documentation to support robust, scalable, and secure environments.
- Leverage your expertise in Kubernetes to enhance container orchestration, deployment, and scaling strategies.
- Develop automation scripts to streamline cloud operations, integration, and monitoring.
- Contribute real-world cloud infrastructure scenarios to help advance AI understanding in this domain.
- Identify and resolve potential security or compliance risks within cloud environments.
- Collaborate with interdisciplinary teams to ensure technical accuracy and relevance of provided input.
Required Skills and Qualifications:
- Demonstrated expertise in designing and managing cloud infrastructure (AWS, Azure, or GCP).
- Strong hands-on experience with Kubernetes and containerized environments.
- Proficiency in scripting languages such as Python, Bash, or PowerShell.
- Deep understanding of cloud security, networking, and scalability concepts.
- Ability to communicate complex technical concepts clearly and concisely.
- Experience troubleshooting and optimizing cloud-based architectures.
- Proven ability to work independently and deliver high-quality input on schedule.
Preferred Qualifications:
- Certifications such as AWS Certified Solutions Architect, Google Professional Cloud Architect, or Azure Solutions Architect Expert.
- Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation.
- Familiarity with cloud migration strategies and hybrid cloud solutions.