MBSE Engineer, SysML v2 AI Evaluation

The work

You will turn engineering requirements into accurate, traceable SysML v2 models and reference architectures. You will also assess AI-generated SysML v2 outputs against clear technical standards and provide structured feedback.

The work uses requirements specifications, Concepts of Operations, Interface Control Documents, and architecture documents to guide modeling decisions. You will communicate asynchronously to clarify deliverables and resolve technical questions.

• Create, review, and validate system models with graphical or textual modeling tools.
• Develop reference solutions and example system architectures for AI evaluation tasks.
• Write rubrics for judging the correctness and quality of AI-generated SysML v2 models.
• Review model outputs and give feedback based on MBSE best practices.
• Apply requirements engineering, system architecture, and requirements traceability methods.

What it pays and takes

This is a remote contractor engagement organized around project or task-based work. The initial pilot is expected to run for approximately four weeks to three months, depending on project needs.

• Pay: $55 to $120 per hour.
• Time: Less than 20 hours per week.
• Location: Remote, open to candidates in the countries specified for this project.
• Language: Fluent English.
• Required: Professional systems engineering or MBSE experience, with hands-on SysML v1 experience and exposure to SysML v2, or demonstrated SysML v2 modeling experience.
• Required: Ability to interpret engineering requirements and produce accurate system models.
• Required: Strong technical writing and communication skills.
• Useful: Experience with Cameo Systems Modeler, MagicDraw, or comparable MBSE tools.
• Useful: Experience with ConOps, ICDs, model verification, evaluation rubric development, or model quality assessment.
• Relevant backgrounds include aerospace, space, defense, automotive, maritime, and communications engineering.

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 8 screening questions.

About AI training work

AI training work is the human work behind artificial intelligence, including reviewing model outputs and preparing examples that help systems improve. People with specialized engineering knowledge are needed to judge technical accuracy, traceability, and quality in these examples.