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about 8 hours ago
Requirements and responsibilities
Job Summary: In this role, 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.Key ResponsibilitiesReview 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 QualificationsDemonstrated 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 QualificationsCertifications 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.Required Skills: cloud infrastructure, scripting, Kubernetes
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