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Sobre esta vaga de MBSE Engineer - SysML v2 na micro1

micro1 · Remoto · Remote — 58 countries

Role Title: MBSE Engineer - SysML v2


Role Type: Contractor


Location: Remote


micro1 is engaging MBSE Engineer - SysML v2 experts to contribute to a customer's project focused on AI training and evaluation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.


Scope of Work

  1. Interpret and translate engineering requirements into accurate SysML v2 textual models, emphasizing model fidelity and traceability.
  2. Develop reference solutions and exemplar architectures in SysML v2 to serve as benchmarks for AI evaluation tasks.
  3. Create, refine, and document evaluation rubrics to assess the quality and correctness of SysML v2 models generated by AI systems.
  4. Review, assess, and provide structured feedback on SysML v2 models, ensuring technical accuracy and adherence to modeling best practices.
  5. Analyze requirements, ConOps, interface control documents (ICDs), and architectural specifications to inform modeling efforts.
  6. Collaborate asynchronously via written and verbal communication to clarify project deliverables and resolve technical ambiguities.


Preferred Qualifications

  1. Minimum 3 years of professional experience in systems engineering with demonstrated hands-on expertise in SysML v2 textual modeling.
  2. In-depth understanding of requirements engineering, system architecture, interface control, and model traceability.
  3. Experience working with ConOps, ICDs, and other foundational systems engineering artifacts.
  4. Proficient in technical writing and clear verbal communication, especially in remote or asynchronous project settings.
  5. Background in complex industries such as aerospace, space, defense, automotive, maritime, or communications is beneficial but not required.
  6. Familiarity with model assessment, rubric creation, or model review in a systems engineering context is a plus.
  7. Previous exposure to AI, ML, or data-driven engineering projects is advantageous
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Sobre a micro1

micro1 is a human data and talent infrastructure company focused on improving AI systems through high-quality expert input.


It connects vetted domain specialists with AI teams and enterprises to produce training data, run model evaluations, and improve reasoning performance in advanced AI systems.


The platform combines a talent marketplace with AI-driven screening and matching tools, enabling faster access to specialized contributors for tasks like LLM training, agent evaluation, and structured data creation.

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