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Internship Ai Cyber Security Jobs (NOW HIRING)

Familiarity with AI/LLM security risks-OWASP LLM Top 10, prompt injection, data leakage, and shadow ... internships or coursework is a plus. Who We Are: Since its inception in 2010, Bectran has pioneered ...

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Internship Ai Cyber Security information

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How much do internship ai cyber security jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for internship ai cyber security in the United States is $20.34, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

What is an AI cyber security internship?

An AI Cyber Security Internship is a temporary position, typically for students or recent graduates, where individuals gain hands-on experience working with artificial intelligence and cybersecurity technologies. Interns may assist in developing AI-driven security tools, analyzing security threats, or supporting cybersecurity teams in protecting digital systems. This role helps interns learn industry practices, build technical skills, and explore potential career paths in AI and cybersecurity. Most internships last a few months and may be part-time or full-time, depending on the organization.

What kinds of projects or tasks are typically assigned to interns in AI cyber security roles?

Interns in AI Cyber Security roles often work on projects such as developing machine learning models to detect threats, analyzing large datasets for security vulnerabilities, and assisting with the automation of security monitoring tools. You may also be involved in researching emerging cyber threats and helping to implement proof-of-concept solutions. Collaboration with experienced security engineers and data scientists is common, providing valuable mentorship and exposure to real-world security challenges. These experiences are excellent for building practical skills and understanding how AI is applied in cybersecurity settings.

What are the key skills and qualifications needed to thrive as an intern in AI cyber security, and why are they important?

To thrive as an AI Cyber Security Intern, you generally need a foundation in computer science, cybersecurity principles, and basic knowledge of machine learning concepts, often supported by ongoing studies in a related degree program. Familiarity with programming languages like Python, security frameworks, and tools such as Wireshark, TensorFlow, or Scikit-learn is typically expected. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These skills and qualities are critical for identifying vulnerabilities, supporting security initiatives, and learning quickly in a rapidly evolving field.

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

AspectInternship Ai Cyber SecurityCyber Security Analyst
CredentialsTypically pursuing or recently completed relevant degree or certificationsRelevant certifications like CompTIA Security+, CISSP often preferred
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time professional role, responsible for security monitoring and response
Employer & IndustryTech companies, cybersecurity firms, or IT departmentsOrganizations across various industries with dedicated security teams
Search & Comparison IntentUnderstanding entry-level opportunities and learning pathsSeeking experienced roles for security management and analysis

In summary, Internship Ai Cyber Security is an entry-level position focused on learning and gaining experience in AI-driven cybersecurity tasks, while a Cyber Security Analyst is a full-time professional responsible for protecting organizational assets through security monitoring, analysis, and response. The internship serves as a stepping stone toward a career as a Cyber Security Analyst.

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Infographic showing various Internship Ai Cyber Security job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $42,304 per year, or $20.3 per hour.

Technology 2027 Intern - AI & CyberSecurity

Charles Schwab Inc.

Austin, TX • On-site

$305K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Your Opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).
Cybersecurity Intern
Students who are interested in Information Security, AI and Cyber Defense - this one's for you! Interns gain exposure to cybersecurity monitoring, threat analysis, security controls, governance practices, risk management processes, security automation, and enterprise security operations. Participants work alongside Cybersecurity professionals helping protect systems, networks, applications, and data across the organization.
Internships available in this track:
AI Security
Cyber Defense
Cybersecurity Core Platforms
Data Protection & Attack Surface Management
Identity & Access Management
What you have
Required Qualifications
  • Currently enrolled in a bachelor's degree program and entering junior-level standing by internship start date.
  • Have not completed your bachelor's degree prior to the internship.
  • Able to commit to 40 hours per week during the 9-week Summer 2027 internship program.
  • Able to begin full-time employment between August 2027 and September 2028.
  • Authorized to work in the United States on a full-time basis without employer sponsorship.
  • Willing to relocate at personal expense if required.

Preferred Qualifications
  • Computer Science, Management Information Systems, or related discipline
  • Strong analytical thinking and problem-solving skills
  • Interest in information security, data protection, automation, technology risk management, AI, monitoring, and continuous improvement

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