Systems Architect​/Chief Systems Architect; English

Design complex engineering workflows that help train and evaluate AI systems, using systems architecture, interface management, and technical trade studies. Pay is $150 to $300 per hour for a part-time contract role.

Remote Hourly · $150-$300/hr

$150-$300/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

Open in 52 countries

• Argentina
• Austria
• Canada
• Chile
• Colombia
• Egypt
• France
• Germany
• Ghana
• Greece
• India
• Italy
• Japan
• Jordan
• Kyrgyzstan
• Lebanon
• Malaysia
• Mexico
• Morocco
• Netherlands
• Oman
• Pakistan
• Philippines
• Portugal
• Qatar
• South Africa
• Spain
• Sri Lanka
• Tunisia
• United Arab Emirates
• United Kingdom
• United States
• Vietnam

You will design realistic, complex engineering workflows for AI training. The work covers architecture, interfaces, dependencies, technical limits, and trade-offs across several engineering disciplines.

• Design projects involving mechanical, electrical, hardware, software, and manufacturing decisions.
• Turn project goals into system architectures with clear boundaries, subsystem responsibilities, interfaces, and technical constraints.
• Break complex architecture problems into connected tasks with clear inputs, deliverables, dependencies, and expert responsibilities.
• Set technical objectives and evaluation criteria for realistic engineering workflows.
• Use architecture reviews, interface management, and technical trade studies for complex systems.

This is a part‑time contractor role for people with systems architecture or comparable technical leadership experience.

• Pay: $150 to $300 per hour.
• Open to candidates in 52 listed countries across Africa, Asia, Europe, North America, and South America.
• English proficiency at B2 level or higher.
• Substantial professional experience as a Systems Architect, Chief Systems Architect, or comparable technical leader.
• Experience owning complex engineering architectures and leading multidisciplinary technical teams.
• Strong skills in system architecture design, technical trade studies, interface management, and architecture reviews.
• Helpful background includes model-based systems engineering, SysML, or architecture modeling tools.
• Helpful background includes graduate study in Systems Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a related field.
• Experience taking architectures from concept through implementation, integration, and deployment is helpful.
• Relevant experience may include aerospace, automotive, robotics, industrial systems, medical devices, or another complex engineering environment.

AI training work uses examples and expert reviews to help improve how AI systems respond and reason. People with specialized engineering knowledge are needed to create realistic tasks and judge whether model outputs meet technical standards.