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Remote Safety Jobs in Michigan (NOW HIRING)

Remote *This is a remote role that can be performed from anywhere in the United States ... Lead the Environment, Health and Safety Program for Stryker's Logistics & Commercial organization ...

Senior Manager - EHS (Remote)

Portage, MI · On-site +1

$153K - $255K/yr

Remote *This is a remote role that can be performed from anywhere in the United States ... Lead the Environment, Health and Safety Program for Stryker's Logistics & Commercial organization ...

Remote *This is a remote role that can be performed from anywhere in the United States ... Lead the Environment, Health and Safety Program for Stryker's Logistics & Commercial organization ...

Dam Safety Engineer

Marquette, MI · On-site +1

$85K - $120K/yr

A fully remote option may be available for the right candidate. Candidate will be part of a connected team of GEI Dam Safety professionals across the country. This individual will contribute to ...

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Remote Safety information

See Michigan salary details

$8

$28

$51

How much do remote safety jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for remote safety in Michigan is $28.22, according to ZipRecruiter salary data. Most workers in this role earn between $22.21 and $34.13 per hour, depending on experience, location, and employer.

What are some common challenges faced by Remote Safety professionals and how can they be addressed?

Remote Safety professionals often face challenges such as limited on-site presence, which can make it harder to proactively identify hazards or verify compliance firsthand. Overcoming these challenges involves leveraging technology effectively—such as virtual inspections, incident tracking systems, and regular video conferencing with site teams. Building strong relationships and communication channels with on-site staff is essential to receive timely updates and ensure that safety protocols are consistently maintained. Staying organized and responsive helps ensure that safety standards are upheld, even when working from a distance.

What are the key skills and qualifications needed to thrive in the Remote Safety position, and why are they important?

To thrive as a Remote Safety professional, you need expertise in occupational health and safety regulations, hazard identification, risk assessment, and a relevant qualification such as a degree in safety management or certifications like OSHA. Familiarity with incident reporting systems, safety management software, and virtual collaboration tools is often required. Strong communication, problem-solving, and self-motivation are key soft skills for successful remote coordination. These competencies are crucial for ensuring regulatory compliance, maintaining a safe work environment, and effectively managing safety risks from a remote setting.

What is a Remote Safety job?

A Remote Safety job involves ensuring workplace safety, compliance, and risk management for remote or distributed teams. Professionals in this role develop safety protocols, provide virtual training, and monitor adherence to health and safety regulations. They may work in industries such as construction, healthcare, or tech, ensuring employees follow best practices even when working remotely. This role often requires knowledge of occupational safety standards and the ability to assess risks in virtual or off-site environments.

What are the most commonly searched types of Safety jobs in Michigan? The most popular types of Safety jobs in Michigan are:
What cities in Michigan are hiring for Remote Safety jobs? Cities in Michigan with the most Remote Safety job openings:
Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Detroit, MI • Remote

$50 - $90/hr

Part-time

Posted 4 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.