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$110k – $240k per year
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Remote (location not specified)
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Contractor

First seen by Alion on Nov 3, 2026.

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micro1 is a US AI data company based in Miami that supplies frontier AI labs with expert-generated training data, model evaluations and reinforcement-learning environments, drawing on a network of vetted specialists. Its offerings include Intelligence Realm for frontier evaluations, Cortex for monitoring and improving agentic AI, and expert-demonstrated data for robotics labs, and it grew out of a service that matched companies with pre-vetted remote software developers. It recruits PhD and MSc domain experts in STEM, medicine, law and engineering as contract AI trainers, alongside software and ML engineers, attorneys, recruiters and partnership managers.
Role Title: MBSE Engineer - SysML v2Role Type: ContractorLocation: 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

Originally posted on Himalayas

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