ZipRecruiter

Log In

2

Remote Automotive Safety Engineer Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsAutomotive Safety Engineer JobsRemote Automotive Safety Engineer Jobs

Remote Automotive Safety Engineer information

See salary details

$48.5K

$104.6K

$164.5K

How much do remote automotive safety engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote automotive safety engineer in the United States is $104,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $135,000.00 per year, depending on experience, location, and employer.

How does a Remote Automotive Safety Engineer collaborate effectively with on-site teams during vehicle testing and validation?

As a Remote Automotive Safety Engineer, effective collaboration with on-site teams is typically achieved through regular video conferences, shared digital project management tools, and real-time data sharing platforms. You may participate in virtual test reviews, provide remote guidance during vehicle assessments, and analyze test data uploaded by on-site staff. Building strong communication channels and establishing clear protocols for feedback ensures that safety requirements are consistently met, even when working off-site. This remote setup requires a proactive approach to teamwork and frequent alignment with cross-functional partners such as design, testing, and compliance teams.

What is a Remote Automotive Safety Engineer?

A Remote Automotive Safety Engineer is a professional who works from a remote location to ensure that vehicles meet safety standards and regulations. They analyze automotive systems, assess potential hazards, and recommend design improvements to enhance occupant and pedestrian safety. Their responsibilities often include reviewing crash test data, conducting risk assessments, and collaborating with design teams using digital tools. Working remotely, they utilize software and virtual communication to stay connected with colleagues and stakeholders while ensuring vehicles are as safe as possible.

What is the difference between Remote Automotive Safety Engineer vs Remote Automotive Quality Engineer?

AspectRemote Automotive Safety EngineerRemote Automotive Quality Engineer
CertificationsISO 26262, ISTQB, SAE certificationsISO 9001, IATF 16949, Six Sigma
Work EnvironmentDesign teams, safety compliance, testing labsQuality assurance, process improvement, inspections
Industry UsageVehicle safety systems, autonomous vehicle safetyManufacturing, supplier quality, product reliability

Remote Automotive Safety Engineers focus on ensuring vehicle safety standards and compliance, often working on safety features and autonomous systems. In contrast, Remote Automotive Quality Engineers concentrate on maintaining product quality, process improvements, and defect prevention. Both roles require relevant certifications and are integral to automotive development, but they emphasize different aspects of vehicle production and safety.

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

To thrive as a Remote Automotive Safety Engineer, you need a strong background in automotive engineering, safety standards (such as ISO 26262), and risk assessment, typically supported by a bachelor's or master's degree in engineering. Familiarity with tools such as MATLAB/Simulink, safety analysis software, and vehicle diagnostic systems, as well as relevant certifications in functional safety, is often required. Excellent communication, problem-solving, and self-motivation are critical soft skills for collaborating with distributed teams and managing projects remotely. These skills and qualifications are crucial for ensuring vehicle safety compliance, efficient remote teamwork, and the successful delivery of safe automotive products.
More about Remote Automotive Safety Engineer jobs
What cities are hiring for Remote Automotive Safety Engineer jobs? Cities with the most Remote Automotive Safety Engineer job openings:
What are the most commonly searched types of Automotive Safety Engineer jobs? The most popular types of Automotive Safety Engineer jobs are:
What states have the most Remote Automotive Safety Engineer jobs? States with the most job openings for Remote Automotive Safety Engineer jobs include:
What job categories do people searching Remote Automotive Safety Engineer jobs look for? The top searched job categories for Remote Automotive Safety Engineer jobs are:
Remote Automotive Safety Engineer jobs near you
Infographic showing various Remote Automotive Safety Engineer job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Contract, and 1% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $104,622 per year, or $50.3 per hour.
Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Philadelphia, PA • Remote

$50 - $90/hr

Part-time

Posted 15 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.

Apply