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Internship Ai Cyber Security Jobs (NOW HIRING)

UnternehmerTUM GmbH

$14.50 - $17.50/hr

Mobility, Climate Tech, Robotics, AI, Cyber Security oder Venture Capital) * Deinen gewünschten Einsatzform (Praktikum oder Werkstudium) * Startdatum, Verfügbarkeit, wöchentliche Stundenanzahl und ...

Bectran Inc

Cyber Security Engineer

Schaumburg, IL

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

As of Aug 31, 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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Internship Ai Cyber Security jobs near you
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.

Research Scientist Intern, AI, Cyber Security, Safety - MSL Trust & Safety (PhD)

Meta

Menlo Park, CA • On-site

$7.6K - $12K/mo

Internship

Posted 12 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

Meta Superintelligence Labs (MSL) is committed to advancing AI in a safe, responsible, and scalable way. The PAR Trust & Safety team sits at the heart of this mission: we ensure the safety of billions of users across Meta's products and services by developing and deploying robust safety mitigations that unblock our most ambitious AI capabilities. We work on safety risk mitigation to directly enable launches of top-priority frontier models and the products built on them (e.g., Meta AI), and we develop solutions with real users in mind - monitoring after deployment, iterating, and evolving our strategy as new AI capabilities and risks emerge. As a Research Scientist Intern on the PAR Trust & Safety team, you will pioneer new AI security techniques and paradigms for superintelligent AI, working hands-on across the full research lifecycle. Our internships are twelve (12) to twenty-four (24) weeks long. What You'll Gain Hands-on experience with Meta's frontier AI models and infrastructure at scale Mentorship from leading researchers in AI cybersecurity Opportunity to publish at top-tier venues Impact on the safety of AI systems used by billions of people
Responsibilities
AI model's defensive cyber capabilities: Leveraging frontier AI models (LLMs, agents) for automation.
• AI for Cyber: Leveraging frontier AI models and agents to improve cyber capabilities, such as vulnerability detection and patching.
• Evaluation: Develop systematic methodologies to probe frontier models' cyber capabilities.
Minimum Qualifications
• Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Machine Learning, Statistics, or a related technical field
• Strong publication record in one or more of: AI safety, ML security, NLP, cybersecurity (top venues: NeurIPS, ICML, ICLR, ACL, EMNLP, IEEE S&P, USENIX Security, CCS, NDSS)
• Experience working with large language models (training, fine-tuning, or evaluation)
• Experience in cybersecurity, AI safety, trust & safety, integrity, red-teaming, or responsible AI
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
• Experience with large language models, multimodal models, or agentic systems
• Experience with deep learning frameworks such as PyTorch
• Demonstrated ability to work independently and to drive a research project from concept to results
• Intent to return to a degree program after completion of the internship
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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