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Remote Customer Engineer Jobs in Arizona (NOW HIRING)

Motorola

Senior DevOps Engineer (US REMOTE)

Phoenix, AZ · Remote

$140K - $170K/yr

We help our customers engage with responders, households, schools, businesses, employees, students ... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ...

Wood Plc

Senior Mechanical Engineer

Phoenix, AZ · On-site +1

$103K - $137K/yr

Following initial onboarding, training and integration, we are open to a flexible remote work ... Give effective presentations to customers * Work with and communicate with project management team

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All JobsCustomer Engineer JobsRemote Customer Engineer JobsRemote Customer Engineer Jobs in Arizona

Remote Customer Engineer information

What is the difference between Remote Customer Engineer vs Remote Technical Support Specialist?

AspectRemote Customer EngineerRemote Technical Support Specialist
Required CredentialsBachelor's in Engineering or related field, certifications like Cisco or CompTIAHigh school diploma or associate degree, certifications like CompTIA A+
Work EnvironmentCustomer sites, remote troubleshooting, technical consultationsHelp desks, call centers, remote support via chat or phone
Employer & Industry UsageTech companies, networking, hardware/software providersIT service providers, software companies, hardware vendors

Remote Customer Engineers focus on technical consultations, troubleshooting, and supporting complex systems, often requiring engineering knowledge. Remote Technical Support Specialists handle customer inquiries, troubleshooting, and issue resolution primarily via remote channels. While both roles involve remote work and technical skills, the Customer Engineer role typically demands more specialized technical expertise and industry certifications.

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

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Tucson, AZ • Remote

$50 - $90/hr

Part-time

This job post has expired 2 days ago. Applications are no longer accepted.

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