Role Overview:
Apply systems engineering expertise to help evaluate and improve AI capabilities through high-fidelity SysML v2 modeling work. This remote contract role focuses on translating real-world engineering artifacts into accurate textual models, reference architectures, and evaluation standards.
Key Responsibilities:
Interpret engineering requirements and translate them into accurate SysML v2 textual models with strong fidelity and traceability. Develop reference solutions and exemplar SysML v2 architectures for AI evaluation tasks. Create, refine, and document rubrics for assessing the quality and correctness of AI-generated SysML v2 models. Review SysML v2 models and provide structured feedback on technical accuracy and modeling best practices. Analyze requirements, concepts of operations, interface control documents, and architectural specifications to guide modeling efforts. Collaborate asynchronously through clear written and verbal communication to clarify deliverables and resolve technical questions.
Qualifications:
At least 3 years of professional systems engineering experience, including hands-on SysML v2 textual modeling. Deep knowledge of requirements engineering, system architecture, interface control, and model traceability. Experience working with concepts of operations and interface control documents. Strong technical writing and verbal communication skills for remote, asynchronous work. Experience in aerospace, space, defense, automotive, maritime, or communications is beneficial but not required. Experience with model assessment, rubric creation, or systems engineering model reviews is a plus. Exposure to AI, machine learning, or data-driven engineering projects is advantageous. Work Terms Remote contract engagement. Work centers on an AI training and evaluation project. Compensation $55 to $120 per hour.
Application Process: Apply by email to be considered for the engagement.
