Systems & Infrastructure Specialist for AI Model Training

The role of Systems & Infrastructure Specialist offers a unique opportunity to leverage your technical expertise in shaping the future of AI systems. By providing high-quality, real-world input, you will play a crucial role in training next-generation AI models, enhancing their learning, reasoning, and performance capabilities. Your domain knowledge is key, and no prior experience in AI is required.

• 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.

• 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.
• Hands-on experience with Python, Bash, JavaScript/TypeScript, Go, Rust, and/or C/C++.
• Deep familiarity with build systems, package managers, databases, web servers, ML frameworks, version control, and cryptography tools.
• Proven ability to execute dynamic infrastructure recovery and optimize long-running processes under pressure.
• Strong written and verbal communication skills, with a passion for precise technical documentation.
• Systems multilingualism: versatility across operating systems, languages, and emerging DevOps tools.

• Prior experience in high-compute environments for AI/ML workloads.
• Background in Site Reliability Engineering or DevOps roles focused on mission-critical infrastructure.
• Familiarity with advanced container orchestration and distributed system design.

Contract position with remote work flexibility.

Hourly rate ranging from $40 to $70.

Open to candidates with the required skills and qualifications.