MBSE Engineer – SysML v2
$55–120/hr
Remote STEM contract with micro1, $55–120/hr. Posted Nov 5.
$55–120/hr
Apply on micro1Is this job worth applying to?
- Pay
- Above typicalTops out at $120/hr. The typical top rate across 148 priced STEM listings is $70/hr.
- Getting in
- Some screening~30–45 min: profile + AI interview. Computer with webcam and mic for the AI interview.
- Steady work
- Work is patchyLong waits between tasks are common.
- Payout record
- Some delaysSchedule: twice a month. Paid via micro1 platform wallet (contractor payments).
- Freshness
- FreshPosted 1d ago. Still listed on micro1 on Nov 6, 2026.
- Where you live
- Not statedThe listing names no country.
The job description
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.
How do you apply to micro1?
Apply on micro1
The Apply button opens this post on micro1's own site. You apply with them, not with Rubric. Budget about 30–45 min: profile + AI interview.
Get through screening
What micro1 asks for after you apply:
- Do the AI interview with Zara on a computer (not a phone)
- Take any skill assessment and verify your identity
- Wait to be matched to a project and sign the contract
Start work and get paid
Pay schedule: twice a month. Paid via micro1 platform wallet (contractor payments). You're paid for the work they hand out, not a fixed salary.
micro1 also needs
- Computer with webcam and mic for the AI interview
- Relevant degree or work history for expert roles
Red flags
- Red flagWeeks of silence after the AI interview
- Red flagContracts signed but no onboarding or tasks
- Red flagProjects ending or changing scope without notice
What is micro1 like to work for?
Recruiting company that vets experts with an AI interviewer (Zara) and staffs them on contract AI-training and evaluation projects for AI labs.
| Advertised pay | $15–135/hr |
|---|---|
| Getting in | Some screening |
| Application takes | ~30–45 min: profile + AI interview |
| How you get paid | Twice a month, via micro1 platform wallet (contractor payments) |
| Payout record | Some delays |
| Countries | Recruits globally with heavy hiring in South Asia, Southeast Asia, Latin America and Eastern Europe; India-based applicants are eligible for many roles. |
Generalist and annotation roles start around $15–30/hr; coding, STEM and law/medicine roles commonly list $40–90/hr and occasionally more.
