DevOps / Platform Engineer | Remote

Work Snapshot Type: Talent network • Location: Remote • Commitment: ~15–30 hours/week

Responsibilities

• Contribute to training and evaluating AI models in DevOps and platform engineering
• Create tasks and deliverables based on real-world infrastructure and deployment scenarios
• Provide domain-specific feedback to improve AI system performance
• Work on projects involving CI/CD pipelines, cloud infrastructure, and containerized environments
• Collaborate on diverse projects with varying scope and duration

Requirements

• Strong experience in CI/CD pipelines and automation workflows
• Strong experience in cloud infrastructure such as AWS, GCP, or Azure
• Strong experience in containerization and orchestration using Docker and Kubernetes
• Strong communication skills with the ability to explain technical concepts clearly
• Ability to work independently and manage tasks in a remote environment