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Remote Ai Cyber Security Jobs (NOW HIRING)

Weekday AI

Cybersecurity AI Specialist

$70 - $90/hr

Fully remote, asynchronous work environment with flexible scheduling * Opportunity to collaborate with highly skilled experts across cybersecurity and AI domains Interview Process * Short interview ...

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Remote Ai Cyber Security information

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$40.5K

$122.9K

$180K

How much do remote ai cyber security jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote ai cyber security in the United States is $122,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $142,000.00 per year, depending on experience, location, and employer.

What is a Remote AI Cyber Security professional?

A Remote AI Cyber Security professional is an expert who works from a remote location to protect computer systems, networks, and data using artificial intelligence technologies. They leverage AI tools to detect, prevent, and respond to cyber threats in real time. Their responsibilities often include monitoring for security breaches, analyzing threats, developing automated defense systems, and ensuring compliance with security policies. Working remotely allows these professionals to support organizations from anywhere, using secure communication tools and virtual platforms.

What is the difference between Remote Ai Cyber Security vs Remote Cyber Security Analyst?

AspectRemote Ai Cyber SecurityRemote Cyber Security Analyst
CertificationsCompTIA Security+, Certified Ethical Hacker (CEH), CISSPCompTIA Security+, CISSP, GIAC Security Essentials (GSEC)
Work EnvironmentFocus on AI systems, machine learning models, and automation tools in cybersecurityFocus on monitoring, threat detection, and incident response across networks and systems
Industry UsageTech companies, AI-driven organizations, cybersecurity firms integrating AIFinancial, healthcare, government, and corporate sectors

Remote Ai Cyber Security specialists focus on integrating AI and machine learning into cybersecurity solutions, while Remote Cyber Security Analysts primarily monitor and respond to security threats. Both roles require similar certifications but differ in their technical focus and work environment.

What are the key skills and qualifications needed to thrive as a Remote AI Cyber Security specialist, and why are they important?

To thrive as a Remote AI Cyber Security specialist, you generally need expertise in cybersecurity principles, AI/machine learning concepts, threat analysis, and relevant degrees or certifications such as CISSP or CEH. Familiarity with security tools like SIEM systems, cloud security platforms, and frameworks for secure AI (e.g., TensorFlow Security, PyTorch) is commonly required. Strong analytical thinking, problem-solving abilities, and effective remote communication skills make candidates stand out. These competencies are essential for proactively identifying threats, securing AI-driven systems, and collaborating efficiently in distributed work environments.

What are some common challenges faced by remote AI Cyber Security professionals, and how can they be addressed?

Remote AI Cyber Security professionals often encounter challenges such as collaborating effectively with distributed teams, staying updated on evolving threats, and maintaining secure virtual work environments. To address these challenges, it's important to use secure communication tools, participate in regular virtual team meetings, and follow best practices for endpoint security. Additionally, continuous learning through online courses and industry forums helps professionals stay current with the latest cyber threats and AI-driven defense techniques.
More about Remote Ai Cyber Security jobs
What cities are hiring for Remote Ai Cyber Security jobs? Cities with the most Remote Ai Cyber Security job openings:
What are the most commonly searched types of Ai Cyber Security jobs? The most popular types of Ai Cyber Security jobs are:
What states have the most Remote Ai Cyber Security jobs? States with the most job openings for Remote Ai Cyber Security jobs include:
What job categories do people searching Remote Ai Cyber Security jobs look for? The top searched job categories for Remote Ai Cyber Security jobs are:
Remote Ai Cyber Security jobs near you
Infographic showing various Remote Ai Cyber Security job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $122,890 per year, or $59.1 per hour.
AI Red Team Cybersecurity (SME) - Remote

AI Red Team Cybersecurity (SME) - Remote

micro1 AI

Tulsa, OK • Remote

$50 - $90/hr

Part-time

Posted 14 days ago

Job description

Role Title: Red Team Lead (Offensive Cybersecurity)


Role Type: Contractor


Location: Remote


micro1 is engaging Red Team Leads (Offensive Cybersecurity) to contribute expertise to a customer's critical cybersecurity project. 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. Develop comprehensive taxonomies for cyber-capability tasks and attack stages relevant to modern threat landscapes.
  2. Design and validate evaluation frameworks for offensive security, focusing on real-world scenarios involving exploit chains, malware, cloud/appsec, and social engineering.
  3. Create safe and effective proxy tasks to simulate advanced attack vectors while maintaining strict boundaries and ethical controls.
  4. Formulate robust scoring rubrics to assess attack sophistication, coverage, and impact across diverse domains.
  5. Review, critique, and enhance benchmarks for red team operations to ensure alignment with evolving security risks and best practices.
  6. Produce clear, well-documented methodologies and technical write-ups, communicating complex security concepts to both technical and non-technical audiences.
  7. Collaborate asynchronously with project stakeholders to iterate on frameworks and incorporate feedback into deliverables.


Preferred Qualifications

  1. 5+ years of hands-on experience in offensive cybersecurity, red teaming, exploit development, or vulnerability research (8–20 years preferred for senior contributors).
  2. Track record as a principal security engineer, exploit developer, cloud red-team lead, malware reverse-engineer, or security researcher specializing in attack chains or social engineering.
  3. Deep expertise in cyber attack methodologies, exploit chains, and cloud/application security assessments.
  4. Strong background in malware analysis, reverse engineering, and/or social engineering tactics and defenses.
  5. Demonstrated ability to produce clear, actionable written and verbal communication for a variety of audiences.
  6. Advanced degree, relevant professional security certifications, or equivalent operational experience highly valued.
  7. Experience building benchmarking or evaluation frameworks in cybersecurity is a plus.

Apply