Principal / Lead Systems Engineer for AI Training

The work

You will design realistic engineering projects that span mechanical, electrical, hardware, software, and manufacturing disciplines. Your work will help AI systems plan, execute, integrate, test, and validate complex engineering activities.

You will turn broad project goals into clear requirements and measurable acceptance criteria. You will also break complex projects into connected expert tasks with defined inputs, deliverables, dependencies, and responsibilities.

• Define project objectives, technical requirements, constraints, and acceptance criteria.
• Design multidisciplinary engineering workflows for AI training.
• Manage interfaces between systems and technical disciplines.
• Plan system integration, verification, and validation activities.
• Coordinate expert contributions so each workflow has clear technical goals and evaluation criteria.

What it pays and takes

This is a remote, part-time contractor opportunity. US-based engineers are preferred, and applications are open to candidates in the eligible countries listed for the role.

• Pay: $150-$300 per hour.
• Work model: Remote contractor, part-time.
• Location: Open to candidates in Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, France, Germany, Ghana, Greece, India, Indonesia, Italy, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Lebanon, Malaysia, Mexico, Morocco, the Netherlands, Nigeria, Oman, Pakistan, Palestinian Territories, Peru, the Philippines, Portugal, Qatar, Saudi Arabia, Singapore, South Africa, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Tunisia, the United Arab Emirates, the United Kingdom, the United States, Uzbekistan, and Vietnam.
• Language: English proficiency at B2 level or higher.
• Required experience: Substantial experience as a Principal Systems Engineer, Lead Systems Engineer, or comparable technical leader.
• Required skills: Requirements engineering, interface management, system integration, verification, and validation.
• Helpful education: A master's degree or PhD in Systems Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a related field.
• Helpful background: Model-based systems engineering, SysML, requirements management tools, and leadership from requirements through integration, testing, and delivery.
• Relevant sectors include aerospace, automotive, robotics, industrial systems, and medical devices.

How it works

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.

About AI training work

AI training is the human work behind artificial intelligence, including preparing examples, writing tasks, and reviewing how models handle real problems. Experienced specialists are needed for complex work because their professional judgment helps create accurate tasks, requirements, and evaluations.