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Senior MBSE Engineer - SysML v2

Pay
$55–$120/hr
Type
Hourly
Spots left
20
Location
Remote
Posted
November 10, 2026

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Listing verified on the platform’s official board. Last checked November 11, 2026.

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

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

Preferred Qualifications

  • Professional experience in systems engineering with demonstrated hands-on expertise in SysML v2 textual modeling.
  • In-depth understanding of requirements engineering, system architecture, interface control, and model traceability.
  • Experience working with ConOps, ICDs, and other foundational systems engineering artifacts.
  • Proficient in technical writing and clear verbal communication, especially in remote or asynchronous project settings.
  • Background in complex industries such as aerospace, space, defense, automotive, maritime, or communications is beneficial but not required.
  • Familiarity with model assessment, rubric creation, or model review in a systems engineering context is a plus.
  • Previous exposure to AI, ML, or data-driven engineering projects is advantageous
Applying via micro1: micro1 screens with an AI interview ("Zara") and pays weekly once placed. Free to apply; most roles are long-running contracts.

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