MBSE Engineer - SysML v2
Quick facts
- Pay
- $55 - $120/hour
- Type
- Part-time
- Location
- Remote
- Platform
- Micro1 — 335 open jobs
- Typical pay at Micro1
- $20–200/hour · median $65 (330 jobs on our site)
- Payout
- Deel (twice a month)
- Apply
- Free to apply — never pay to get AI training work
Pay: $55 - $120/hour
Required Skills
sysml v2
systems engineering
requirements engineering
system architecture
model traceability
interface control documents (icds)
conops
technical writing
model assessment
rubric creation
model review
asynchronous communication
remote collaboration
ai/ML familiarity
aerospace/defense/automotive industry background
About micro1
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.
Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.
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
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micro1 recruits engineers and domain experts for AI labs using its AI interviewer. Once vetted, contractors work on human-data projects such as writing and checking model outputs or building coding evaluations.