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Remote Rf Test Engineer Jobs in Arizona (NOW HIRING)

Senior Project Engineer

Tucson, AZ · Remote

$91K - $119K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Configure, test, and troubleshoot PLC/HMI, Relays and other control systems * Conduct & Support ...

Senior Project Engineer

Phoenix, AZ · Remote

$98K - $128K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Configure, test, and troubleshoot PLC/HMI, Relays and other control systems * Conduct & Support ...

Senior Software Engineer

Phoenix, AZ · Remote

$152K - $205K/yr

A focus on coding standards and code quality -- a desire to have great test coverage to enable ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

Staff Software Engineer

Phoenix, AZ · Remote

$195K - $257K/yr

Deep focus on coding standards and code quality -- a desire to have great test coverage to enable ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

Software Engineer

Tucson, AZ · On-site +1

$100K - $125K/yr

They should be comfortable working in a team environment, onsite and remote, and be receptive to ... Design, develop, test, and maintain software according to the development process employed by the ...

New

Software Engineer

Tucson, AZ · On-site +1

$100K - $125K/yr

They should be comfortable working in a team environment, onsite and remote, and be receptive to ... Design, develop, test, and maintain software according to the development process employed by the ...

New

This is a remote position. IT Support Engineer | USA Location: USA Type: (Remote / Hybrid ... Triage incoming support tickets, reproduce issues in test environments, and drive resolution within ...

New

Principal Digital Design Engineer

Chandler, AZ · On-site +1

$200K - $250K/yr

Work on scan insertion, test architecture, and coverage closure * Perform, review and debug logic ... While we are primarily seeking candidates in HQ-Vancouer and Chandler, remote flexibility may be ...

Senior Digital Engineer

Chandler, AZ · On-site +1

$133K/yr

Assisting with top level test-bench debug, and running RTL & gate level simulations * Working with ... Our people-first culture and global support system, including the remote work option and Employee ...

New

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Remote Rf Test Engineer information

What is the difference between Remote Rf Test Engineer vs Remote Wireless Test Engineer?

AspectRemote Rf Test EngineerRemote Wireless Test Engineer
CertificationsRF certifications, such as FCC or CEWireless communication certifications, like CWNP or Cisco Wireless
Work EnvironmentTesting RF components, modules, and systems remotelyTesting wireless devices, networks, and protocols remotely
Industry UsageTelecom, aerospace, defense, consumer electronicsTelecom, IoT, networking, consumer electronics

Both roles involve testing wireless technologies remotely, but the Remote Rf Test Engineer focuses on RF hardware and signal integrity, while the Remote Wireless Test Engineer emphasizes wireless protocols and network performance. The choice depends on whether the focus is on RF hardware or wireless communication systems.

What are popular job titles related to Remote Rf Test Engineer jobs in Arizona? For Remote Rf Test Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Rf Test Engineer jobs in Arizona look for? The top searched job categories for Remote Rf Test Engineer jobs in Arizona are:
What cities in Arizona are hiring for Remote Rf Test Engineer jobs? Cities in Arizona with the most Remote Rf Test Engineer job openings:
AI Safety Engineer (Red Teaming) - Remote

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Tucson, AZ • Remote

$50 - $90/hr

Part-time

Posted 10 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.