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Remote Modeling Simulation Engineer Jobs in Minnesota

Evs

Power Studies Engineer

Eden Prairie, MN · On-site +1

$90K - $120K/yr

Eden Prairie, MN | Hybrid | Remote Schedule: Full-Time Salary: $90,000 - $120,000 (based on experience) EVS is seeking a Power Studies Engineer to support advanced electrical system modeling ...

Accelint

Teamcenter Application Developer

Saint Paul, MN · On-site +1

$125K - $148K/yr

... simulation, and tools that improve logistics, maintenance, and overall readiness. For nearly 30 ... Teamcenter Application Developer * Full Time * Remote or Hybrid The Teamcenter Application ...

Accelint

Teamcenter Application Developer

Saint Paul, MN · On-site +1

$125K - $148K/yr

... simulation, and tools that improve logistics, maintenance, and overall readiness. For nearly 30 ... Teamcenter Application Developer * Full Time * Remote or Hybrid The Teamcenter Application ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · Remote

... Engineer/Architect to support our US Government client. * This remote contract-to-hire position ... Perform model training, evaluation, integration, testing, tuning, and ongoing performance ...

TKDA

Professional Engineer, Traffic Engineering

Duluth, MN · On-site +1

$87K - $130K/yr

Conduct analyses using simulation and modeling software. * Create production of plans, specifications and cost estimates. * Collaborate with engineers, designers, and technicians generating safe and ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · On-site +1

... Engineer/Architect to support our US Government client. * This remote contract-to-hire position ... Perform model training, evaluation, integration, testing, tuning, and ongoing performance ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · Remote

... Engineer/Architect to support our US Government client. * This remote contract-to-hire position ... Perform model training, evaluation, integration, testing, tuning, and ongoing performance ...

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Remote Modeling Simulation Engineer information

What is the difference between Remote Modeling Simulation Engineer vs Remote Data Analyst?

AspectRemote Modeling Simulation EngineerRemote Data Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with simulation softwareBachelor's or higher in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering teams, simulation labs, software development settingsBusiness, finance, healthcare, or tech companies analyzing data sets
Industry UsageManufacturing, aerospace, automotive, defenseFinance, marketing, healthcare, technology
Common Search/ComparisonYesYes

The Remote Modeling Simulation Engineer focuses on creating and running simulations to predict system behaviors, often in engineering or manufacturing contexts. In contrast, the Remote Data Analyst interprets data to inform business decisions across various industries. While both roles require analytical skills and technical knowledge, their tools, applications, and industry focus differ significantly.

How does a Remote Modeling Simulation Engineer typically collaborate with cross-functional teams despite working remotely?

Remote Modeling Simulation Engineers frequently work with multidisciplinary teams, including software developers, project managers, and subject matter experts. Collaboration is typically facilitated through virtual meetings, shared simulation platforms, and cloud-based project management tools. Regular communication and thorough documentation are essential to ensure alignment on project goals and simulation requirements. While remote work offers flexibility, it also requires proactive engagement to stay connected and effectively contribute to team-driven problem solving.

What are Remote Modeling Simulation Engineers?

Remote Modeling Simulation Engineers are professionals who use computer-based models and simulations to analyze, design, and optimize systems or products, often working from a location outside of a traditional office. They leverage specialized software to create virtual prototypes and run simulations, which helps in testing and improving designs without the need for physical experiments. These engineers collaborate with teams online, and their work is crucial in industries such as aerospace, automotive, energy, and manufacturing. Their remote setup allows companies to tap into a wider talent pool and offers professionals greater flexibility.

What are the key skills and qualifications needed to thrive as a Remote Modeling Simulation Engineer, and why are they important?

To thrive as a Remote Modeling Simulation Engineer, you need a solid background in engineering or computer science, strong mathematical modeling skills, and experience with simulation methodologies. Familiarity with tools like MATLAB, Simulink, Python, and simulation software, along with relevant certifications such as Certified Systems Engineering Professional (CSEP), is often required. Exceptional problem-solving, self-motivation, and clear communication are crucial soft skills, especially when collaborating remotely with diverse teams. These skills ensure accurate model development, effective virtual teamwork, and the delivery of reliable simulation results for complex engineering challenges.
What are popular job titles related to Remote Modeling Simulation Engineer jobs in Minnesota? For Remote Modeling Simulation Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Modeling Simulation Engineer jobs in Minnesota look for? The top searched job categories for Remote Modeling Simulation Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Modeling Simulation Engineer jobs? Cities in Minnesota with the most Remote Modeling Simulation Engineer job openings:
Remote Modeling Simulation Engineer jobs near you
Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Minneapolis, MN • Remote

$50 - $90/hr

Part-time

Posted 9 days ago

Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. 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. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

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