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micro1

MBSE Engineer - SysML v2

Posted 2026-11-04
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Work Type
Remote
Location
Global
Compensation
$55 - $120/hr

About this opportunity

Overview

micro1 is seeking MBSE Engineer - SysML v2 experts for a contractor role on a customer project focused on AI training and evaluation. The work is remote and involves helping train next-generation AI systems through high-quality, real-world systems engineering input. There are 20 openings.

Scope of Work

  • Interpret engineering requirements and translate them into accurate SysML v2 textual models, with attention to fidelity and traceability.
  • Create reference solutions and exemplar architectures in SysML v2 that can be used as benchmarks for AI evaluation tasks.
  • Develop, refine, and document evaluation rubrics to assess 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, ConOps, interface control documents (ICDs), and architectural specifications to support modeling work.
  • Collaborate asynchronously through written and verbal communication to clarify deliverables and resolve technical ambiguities.

Preferred Qualifications

  • Professional experience in systems engineering with hands-on SysML v2 textual modeling experience.
  • Strong understanding of requirements engineering, system architecture, interface control, and model traceability.
  • Experience working with ConOps, ICDs, and related systems engineering artifacts.
  • Technical writing ability and clear communication skills suited to remote or asynchronous work.
  • Background in aerospace, space, defense, automotive, maritime, or communications industries is beneficial.
  • Experience with model assessment, rubric creation, or model review in a systems engineering context is a plus.
  • Exposure to AI, ML, or data-driven engineering projects is advantageous.

Skills & expertise

SysML v2 Systems Engineering Requirements Engineering Model Traceability System Architecture Technical Writing AI/ML Familiarity

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