MBSE Engineer SysML v2 AI Model Evaluation

You will support AI training and evaluation by turning engineering requirements into accurate, traceable SysML v2 textual models. You will also review AI-generated systems engineering content and provide clear technical feedback.

The work uses systems engineering artifacts such as Concepts of Operations, interface control documents, and architectural specifications. Collaboration is remote and asynchronous, with written and verbal communication used to clarify deliverables and resolve technical questions.

• Interpret requirements and create high-fidelity SysML v2 models using textual notation.
• Develop reference solutions and exemplar architectures for AI evaluation tasks.
• Create and refine rubrics for judging the quality and correctness of AI-generated SysML v2 models.
• Review model outputs, identify technical issues, and provide structured feedback based on modeling practices.
• Use ConOps, interface control documents, and architectural specifications to guide modeling decisions.

This is a remote contractor role with part-time employment terms.

• Pay: $55 to $120 per hour.
• Work setting: Remote contractor role with asynchronous collaboration.
• Location: Open to candidates in listed countries across North America, South America, Europe, Africa, Asia, and the Middle East.
• Language: Professional fluency in English.
• Experience: At least three years of professional systems engineering experience.
• Technical skills: Hands-on experience writing SysML v2 models with textual notation.
• Systems knowledge: Requirements engineering, system architecture, interface control, and model traceability.
• Required artifacts experience: Concepts of Operations, interface control documents, and other systems engineering documents.
• Communication: Strong technical writing and verbal communication skills.
• Helpful background: Aerospace, space systems, defense, automotive, maritime, or communications.
• Also helpful: Model assessment, rubric creation, model review, or AI, machine learning, and data-driven engineering projects.

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.

AI training work is the human side of building AI systems. People prepare examples, review model outputs, and give structured feedback so systems can produce more accurate and useful results. OpenTrain helps people find these projects, build a profile, and apply in minutes.