Systems Architect / Chief Systems Architect for AI Training

Design realistic engineering projects and turn them into clear system architectures and connected tasks for AI training. The work covers mechanical, electrical, hardware, software, and manufacturing decisions.

• Set system boundaries, subsystem responsibilities, interfaces, and technical constraints.
• Break complex architecture problems into tasks with clear inputs, deliverables, dependencies, and expert responsibilities.
• Set technical objectives and evaluation criteria for engineering workflows.
• Use architecture reviews, interface management, and technical trade studies to assess complex systems.

• Pay: $150 to $300 per hour.
• Work type: Part-time contract.
• Location: Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, the United Kingdom, Ghana, Greece, Indonesia, India, Italy, Jordan, Japan, Kenya, Kyrgyzstan, Kuwait, and Kazakhstan.
• Location: Also open to candidates in Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, the Netherlands, Oman, Peru, the Philippines, Pakistan, Palestine, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, the United States, Uzbekistan, Vietnam, and South Africa.
• Language: English proficiency at B2 level or higher.
• Required: Substantial professional experience as a Systems Architect, Chief Systems Architect, or comparable technical leader; experience owning complex system architectures and leading multidisciplinary technical teams.
• Required: Strong skills in system architecture design, technical trade studies, interface management, and architecture reviews.
• Helpful: Experience with model-based systems engineering, SysML, or architecture modeling tools; graduate study in systems engineering, mechanical engineering, electrical engineering, computer engineering, or a related field.
• Helpful: Experience taking architectures from concept through implementation, integration, and deployment. Background in aerospace, automotive, robotics, industrial systems, medical devices, or another complex engineering environment is relevant.

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 7 screening questions.

AI training uses examples prepared and reviewed by people to help AI systems learn. This role applies systems architecture expertise to create realistic engineering tasks and evaluation criteria for that work.