AI Operations Intern | Minneapolis, MN | Hybrid
As an AI Operations Intern, you will gain hands-on experience exploring how artificial intelligence can support cybersecurity operations and business processes. You’ll work alongside experienced professionals to research, test, document, and improve AI-powered tools and workflows.
This role is a great opportunity for someone who is interested in both AI and cybersecurity and wants to learn how emerging technologies can be applied to solve real-world security challenges.
What You'll Accomplish:
- Assist with research and evaluation of AI tools and technologies used in cybersecurity.
- Help test AI-powered tools and workflows and document results, issues, and opportunities for improvement.
- Assist with developing and testing prompts to improve AI-generated results.
- Research emerging AI and cybersecurity trends, technologies, and use cases.
- Help identify opportunities to use AI to improve security processes and workflows.
- Assist with organizing, reviewing, and preparing data used in AI-related projects.
- Support documentation of AI processes, workflows, and best practices.
- Assist with monitoring AI solutions and identifying potential issues or inconsistencies.
- Help create reports, presentations, and other materials to communicate findings.
- Support cybersecurity projects involving automation and emerging technologies.
- Collaborate with cybersecurity and other technical teams on assigned projects.
- Maintain accurate documentation and track assigned tasks and action items.
- Take ownership of assigned tasks while seeking guidance and feedback from experienced team members.
What You'll Bring: - Currently pursuing a degree in Cybersecurity, Computer Science, Information Technology, Data Analytics, Artificial Intelligence, or a related field.
- Strong interest in both artificial intelligence and cybersecurity.
- Curiosity about how AI can be used to solve real-world security challenges.
- Strong analytical and problem solving skills.
- Comfortable learning new technologies and tools.
- Strong attention to detail, particularly when reviewing data or AI-generated results.
- Strong written and verbal communication skills.
- Ability to organize information and clearly document findings.
- Ability to work independently while also collaborating with a team.
- Experience with AI tools, cybersecurity labs, coding, data analysis, or prompt engineering through coursework, personal projects, or previous experience is a plus, but not required.
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