Skip to content

Domain Experts

MBSE Engineer - SysML V2

micro1 logomicro1$55–$120/hrRemote, most countriesContractPosted today

The middle of its range, $87.50/hr, is above the $75/hr median of the Law, Medicine & Finance roles open now, whose typical pay runs $40–$150/hr. How that pay moves week by week is in our research on Law, Medicine & Finance work.

Half of all Law, Medicine & Finance roles come down within 30 days of being listed, and 53% are still up after four weeks. This one was posted today.

Some links on AITraining.jobs are referral links. If you sign up through one, AITraining.jobs may earn a commission at no extra cost to you. It never changes what a platform pays you.

About the role

Role type: Contractor

Location: Remote

Commitment: Pay-per- task-based, variable/flexible hours (~15hrs/wk)

Project duration: ~ 4 weeks to 3 months

About the opportunity

micro1 is looking for experienced Model-Based Systems Engineering (MBSE) professionals with expertise in SysML v1 and exposure to SysML v2, or demonstrated hands-on experience with SysML v2 modeling, to support a customer project focused on AI training and evaluation.

In this role, you'll apply your systems engineering knowledge to develop reference models, assess AI-generated SysML v2 outputs, and establish clear standards for technical accuracy and model quality.

Candidates may use suitable SysML modeling tools to create and evaluate system models. Experience with graphical or textual modeling approaches is welcome.

Your expertise will help evaluate how effectively AI systems interpret engineering requirements, represent complex system architectures, and produce consistent, traceable models.

What you’ll do

  • Interpret and translate engineering requirements into accurate SysML v2 models, emphasizing model fidelity and traceability.
  • Develop reference solutions and exemplar system architectures using SysML v2 to serve as benchmarks for AI evaluation tasks.
  • Use appropriate systems modeling tools to create, review, and validate SysML v2 models.
  • Create, refine, and document evaluation rubrics to assess the quality and correctness of AI-generated SysML v2 models.
  • Review, assess, and provide structured feedback on SysML v2 models, ensuring technical accuracy and adherence to modeling best practices.
  • Analyze requirements, Concepts of Operations (ConOps), Interface Control Documents (ICDs), and architectural specifications to inform modeling efforts.
  • Collaborate asynchronously through written and verbal communication to clarify project deliverables and resolve technical ambiguities.

Required qualifications

  • Professional experience in systems engineering, with hands-on expertise in SysML v1 and some exposure to SysML v2, or demonstrated experience with SysML v2 modeling.
  • Ability to interpret engineering requirements and translate them into technically accurate system models.
  • Understanding of model-based systems engineering principles, requirements traceability, and system architecture.
  • Experience working with systems modeling tools and applying MBSE methodologies to engineering projects.

Preferred qualifications

  • Strong understanding of requirements engineering, system architecture, interface control, and model traceability.
  • Experience using MBSE modeling tools such as Cameo Systems Modeler, MagicDraw, or other compatible systems modeling applications.
  • Familiarity with SysML v2 modeling environments, including graphical or textual approaches.
  • Experience working with ConOps, ICDs, and other foundational systems engineering documentation.
  • Strong technical writing and communication skills, particularly in remote or asynchronous environments.
  • Experience in complex engineering domains such as aerospace, space, defense, automotive, maritime, or communications.
  • Familiarity with model verification, technical review, evaluation rubric development, or model quality assessment.
  • Exposure to AI, machine learning, or data-driven engineering projects.

Engagement details

  • Contract type: Contractor engagement.
  • Location: Remote.
  • Work structure: Project or task-based, with variable hours depending on project needs.
  • Duration: Initial pilot expected to last approximately 4 weeks to 3 months.

Application process

  • Candidates will complete an AI interview as part of the application process.

Where you can work

This role is 100% remote: you can work from any country except Afghanistan, Belarus, DR Congo, China, Cuba, Ethiopia, Hong Kong, Iraq, Iran, North Korea, Libya, Myanmar, Macau, Russia, Sudan, Somalia, South Sudan, Syria, Ukraine, Venezuela and Yemen.

From micro1's job posting, checked 10 Nov 2026.

About micro1

Zara AI-interview vetting, then expert data work at published hourly rates.

How it pays: USD via Deel (bank, PayPal, Wise, Payoneer).

Similar open roles

Some links on AITraining.jobs are referral links. If you sign up through one, AITraining.jobs may earn a commission at no extra cost to you. It never changes what a platform pays you. A role at a platform that pays us a referral fee weighs more in this order.

A licensed or credentialed professional?

One profile for every AI training platform. Companies ask us for people with a specific language, country or credential: add yours once, and when a role fits, we introduce you, only with your yes. Free.

Create my profile

Get new micro1 roles by email

We check the micro1 job board every hour and email you its newest roles each week, plus similar paid roles elsewhere. Free, unsubscribe anytime.