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. No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities
• Navigate, troubleshoot, and recover dynamic infrastructure and long-running processes in real-time using command-line tools.
• Master and manage highly containerized environments, including orchestrating Dockerized sandboxes and CI/CD workflows.
• Build, maintain, and optimize systems for AI model training and high-throughput compute environments.
• Respond swiftly to system errors, executing dynamic mid-operation replanning and recovery.
• Collaborate with engineering and AI teams to ensure seamless integration, reliability, and performance.
• Document system architectures, incident responses, and recovery protocols with meticulous clarity.
• Contribute expertise to evolving project needs, adapting to new technologies and scaling strategies as required.
Required Skills and Qualifications
• Demonstrated expert proficiency working in terminal environments for system builds, server administration, and infrastructure management.
• Advanced problem-solving skills for multi-step troubleshooting, filesystem navigation, and process management within containerized settings.