IT System Manager

Turing is looking for candidates with strong experience in information systems management, project leadership, and enterprise technology strategy. 

Role overview:

• In this role, you will contribute to projects that help evaluate and enhance AI systems using your IT leadership and systems management expertise.
• No prior AI experience is required.
• These projects will help you explore how AI can be leveraged to advance digital transformation, automation, and data-driven decision-making across enterprise technology environments.

What does day-to-day look like:

• Design and solve real-world IT operations and systems management scenarios to test AI reasoning.
• Write clear, structured solutions covering IT governance, system integration, cybersecurity, and project delivery.
• Evaluate AI responses for accuracy, professionalism, and technical soundness.
• Collaborate with researchers to refine AI understanding of technology lifecycle management, strategic planning, and enterprise infrastructure.

Requirements:

• 4+ years of experience as an IT Manager, Systems Administrator, or Technology Project Manager.
• Background in Computer Science, Information Systems, or a related field.
• Strong understanding of IT project management, software delivery, and security protocols.
• Familiarity with cloud platforms (AWS, Azure, GCP) and enterprise software systems.
• Excellent English communication and documentation skills.

Perks of freelancing with Turing & offer details:

• Strong compensation (exact amount varies by project).
• Fully remote work environment.
• Engagement type: Contractor assignment/freelancer, potentially full-time.
• Duration of projects: approximately 1 month, with the possibility for extension.

About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.