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Internship Remote Data Protection Jobs in Detroit, MI

... Data Protection Regulation, or Health Insurance Portability and Accountability Act * Master ... This compensation range is specific to Remote role and takes into account the wide range of factors ...

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Internship Remote Data Protection information

See Detroit, MI salary details

$11

$22

$41

How much do internship remote data protection jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for internship remote data protection in Detroit, MI is $22.28, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.28 per hour, depending on experience, location, and employer.

What types of projects and tasks can I expect to work on during a remote data protection internship?

As a remote data protection intern, you can expect to work on projects such as assisting with data privacy audits, reviewing and updating privacy policies, helping to map data flows, and supporting compliance initiatives with regulations like GDPR or CCPA. You may also be involved in researching best practices, preparing documentation, and collaborating with IT and legal teams to ensure data security measures are up to date. Regular meetings and mentorship are common, providing opportunities to learn from experienced professionals and gain practical skills relevant to data protection.

What are the key skills and qualifications needed to thrive as an internship remote data protection, and why are they important?

To thrive as an Internship Remote Data Protection professional, you need a basic understanding of data privacy principles, cybersecurity concepts, and relevant legal frameworks, often supported by coursework or a degree in information technology, computer science, or law. Familiarity with data protection tools, encryption software, and compliance standards such as GDPR or HIPAA is typically expected. Strong attention to detail, problem-solving skills, and the ability to communicate complex issues clearly are valuable soft skills for this role. These skills are critical to ensure sensitive data is safeguarded, regulatory requirements are met, and risks are effectively managed in a remote work environment.

What is the difference between Internship Remote Data Protection vs Data Security Analyst?

AspectInternship Remote Data ProtectionData Security Analyst
CredentialsTypically pursuing or recent graduate, some certifications optionalRelevant certifications like CISSP, CISA often required
Work EnvironmentRemote internship, supervised by teamFull-time, often on-site or hybrid, in corporate or security firm
Industry UsageEntry-level, educational, training-focusedProfessional role with ongoing responsibilities

Internship Remote Data Protection provides hands-on experience for students or recent graduates in data security, often in a remote setting. Data Security Analysts are experienced professionals responsible for protecting organizational data, requiring relevant certifications and full-time commitment. The internship is a learning opportunity, while the analyst role involves active security management.

What is an internship remote data protection?

Internship Remote Data Protection positions are entry-level roles designed for students or recent graduates to gain hands-on experience in safeguarding digital information, specifically while working remotely. Interns in these positions typically assist with implementing and monitoring data security measures, ensuring compliance with privacy regulations, and learning about best practices in cybersecurity. These roles are valuable for individuals interested in building a career in IT security, as they provide exposure to real-world challenges in protecting sensitive data in distributed work environments.
What are popular job titles related to Internship Remote Data Protection jobs in Detroit, MI? For Internship Remote Data Protection jobs in Detroit, MI, the most frequently searched job titles are:
Infographic showing various Internship Remote Data Protection job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,339 per year, or $22.3 per hour.

AI Cybersecurity Engineer Principal

Huntington

Detroit, MI โ€ข On-site, Remote

Full-time

Posted 27 days ago


Job description

Description

The AI Cybersecurity Engineer Principle is responsible for designing, developing, and securing AI-driven solutions that enhance cybersecurity capabilities and enable safe enterprise adoption of artificial intelligence. This role bridges AI engineering, cybersecurity, and cloud platforms to deliver intelligent automation, advanced analytics, and secure application architectures. The position focuses on embedding security, governance, and risk controls into AI systems while driving innovation through agentic AI, automation, and data-driven decision-making.

Duties & Responsibilities

  • AI Solution Development: Design, build, and deploy AI/ML and generative AI applications to support cybersecurity operations and enterprise use cases.
  • Security Integration: Embed cybersecurity controls, secure coding practices, and data protection measures into AI applications and development pipelines.
  • Cyber Use Case Enablement: Develop solutions for threat detection, alert triage, vulnerability analysis, identity analytics, and risk scoring.
  • Automation & Agentic AI: Implement intelligent automation and agent-driven workflows to optimize cyber operations and reduce manual effort.
  • Data & Analytics: Engineer pipelines and analytics solutions for processing logs, telemetry, and security data to generate actionable insights.
  • Cloud & Platform Engineering: Deploy and manage scalable AI solutions in cloud-native environments using containers, APIs, and CI/CD pipelines.
  • System Integration: Integrate AI applications with enterprise and cybersecurity tools (SIEM, SOAR, IAM, data platforms).
  • Governance & Compliance: Ensure alignment with AI governance, regulatory requirements, and secure SDLC practices.
  • Collaboration: Partner with cybersecurity, engineering, data, and business teams to deliver secure, scalable AI capabilities

Basic Qualifications:

  • Bachelor's Degree or 4+ additional years of equivalent experience.
  • 8+ years of production support and design of Cyber Security technologies.
  • 8+ years of operational experience with security technologies.
  • 8+ years of implementing or utilizing technology lifecycles and best practices (SDLC lifecycle).

Preferred Qualifications

  • Experience in the implementation of cyber security tools (hardware and software)
  • Experience in participating and leading projects and implementing new technologies and solutions
  • Experience with agentic AI, Claude code, copilots, RAG architectures, and LLM orchestration frameworks
  • Experience implementing AI governance, model risk management, and security guardrails
  • Familiarity with cybersecurity platforms (SIEM, SOAR, EDR/XDR, vulnerability management, IAM tools)
  • Proficiency in modern programming languages such as Python, Java, .NET/C#, JavaScript/TypeScript, or Go, with strong API and backend development skills.
  • Demonstrated experience designing and developing RESTful APIs, microservices, and event-driven services to support enterprise AI and automation capabilities.
  • Strong hands-on software development experience with the ability to design, build, test, and deploy production-grade applications.
  • Ability to build and maintain a centralized AI agent registry that supports agent onboarding, unique agent identification, metadata management, ownership tracking, lifecycle status, versioning, and auditability.
  • Experience developing user interfaces and operational dashboards for monitoring, managing, and supporting AI agents, workflows, system health, and service activity.
  • Knowledge of data engineering, streaming analytics, and log/telemetry processing
  • Experience integrating applications with identity and access management platforms, including OAuth 2.0, OIDC, scoped tokens, service principals, managed identities, and role-based access controls.


Exempt Status: (Yes= not eligible for overtime pay) (No= eligible for overtime pay)

Yes

Workplace Type:

Remote

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.