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
• Administer, monitor, and troubleshoot network and computer systems to ensure optimal uptime and security.
• Collaborate with AI specialists to provide infrastructure insights that enhance AI model training and performance.
• Develop and maintain system documentation, network diagrams, and procedural guides with precise written communication.
• Implement robust backup, disaster recovery, and system update strategies.
• Proactively identify and resolve system, network, and security vulnerabilities.
• Participate in the design and deployment of system architecture improvements to support evolving project requirements.
• Communicate complex technical information clearly with both technical and non-technical stakeholders.
Required Skills and Qualifications
• Demonstrated expert-level experience in network and systems administration.
• Proficiency with server management (Windows/Linux), virtualization, and network protocols.
• Strong analytical, troubleshooting, and problem-solving abilities.
• In-depth knowledge of cybersecurity best practices.
• Exceptional written and verbal communication skills.
• Experience with documentation and process standardization.
• Ability to work independently and as part of a distributed team.
Preferred Qualifications
• Familiarity with supporting AI training pipelines or data-intensive applications.
• Experience working on cloud-based infrastructure (AWS, Azure, or GCP).
• Prior involvement in projects intersecting IT and machine learning domains.