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Internship Artificial Intelligence Analyst Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

$61K - $141K/yr

What if you could use your analytical skills to help them make informed decisions? With all the ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Booz Allen Hamilton, Inc.

$61K - $141K/yr

All-Source Intelligence Analyst The Opportunity: Critical decisions are made every single day in ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Booz Allen Hamilton, Inc.

$61K - $141K/yr

What if you could use your analytical skills to help them make informed decisions? With all the ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Booz Allen Hamilton, Inc.

$61K - $141K/yr

All-Source Intelligence Analyst The Opportunity: Critical decisions are made every single day in ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

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Internship Artificial Intelligence Analyst information

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How much do internship artificial intelligence analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for internship artificial intelligence analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Internship Artificial Intelligence Analyst vs Data Analyst Intern?

AspectInternship Artificial Intelligence AnalystData Analyst Intern
Required CredentialsRelevant coursework, basic programming, knowledge of AI conceptsStatistics, data analysis, Excel, basic programming
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageAI-focused roles in tech and research sectorsData-driven decision making across industries

Both roles are entry-level internships involving data handling and analysis. The Internship Artificial Intelligence Analyst focuses more on AI concepts and machine learning, while the Data Analyst Intern emphasizes data interpretation and reporting. Your choice depends on your interest in AI technologies versus general data analysis.

How to become an internship artificial intelligence analyst?

To become an internship artificial intelligence analyst, candidates typically need a strong foundation in computer science, mathematics, or data science, along with knowledge of machine learning and programming languages like Python or R. Gaining experience through coursework, personal projects, or certifications in AI tools and frameworks such as TensorFlow or PyTorch can improve prospects. Internships often require relevant academic background and demonstrated analytical skills, with some positions favoring prior experience in data analysis or software development.

Is an internship artificial intelligence analyst worth it?

An internship as an artificial intelligence analyst provides hands-on experience with AI tools, data analysis, and programming languages like Python, which can enhance employability. It offers industry exposure, skill development, and networking opportunities that can lead to full-time positions in AI and data science fields.

What cities are hiring for Internship Artificial Intelligence Analyst jobs?

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What are the most commonly searched types of Artificial Intelligence Analyst jobs?

The most popular types of Artificial Intelligence Analyst jobs are:

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Internship Artificial Intelligence Analyst jobs near you

Cybersecurity Analyst (Artificial Intelligence)

TiltEdge Solutions LLC

Washington, DC • On-site

$75/hr

Contractor

Re-posted 6 days ago

Job description

Job Title: Senior Cybersecurity Analyst (Artificial Intelligence)
Location: Washington D.C
Duration: 6-12 Months
Rate: DOE
 
Job Description:

Senior Cybersecurity Analyst (Artificial Intelligence)

Position Overview

We are seeking up to two (2) Cybersecurity Analysts with experience implementing artificial intelligence (AI) for computer network defense including intrusion detection, prevention and incident response activities. The ideal candidate will have deep expertise with traditional cybersecurity operations, activities, and technologies. The ideal candidate will also have experience working with a variety of AI technologies and models in a cybersecurity context. This position will require the development and delivery of AI-enabled cybersecurity processes, tools, and capabilities.

Key Responsibilities

  • Implement AI-enabled solutions for cybersecurity operations and adapt existing processes to integrate emerging AI capabilities into standard operations.
  • Provide key requirements, observations, design suggestions, and artifacts to inform the development of AI technologies that will support the adoption of AI technology into cybersecurity operations.
  • Monitor real-time network activity flagged by a variety of intrusion detection, prevention, and analysis platforms and analyze raw data, metadata, and event logs to confirm suspected intrusion attempts into either local (on-premises) or cloud computing systems and use that information to inform the creation of AI-enabled cyber defense capabilities.
  • Author and implement custom detection content for signature-based detection systems, security information and event management (SIEM) systems, host-based detection systems, and firewall logic.
  • Use security orchestration and automation tools, augmented with AI, to triage events and suggest improvements on existing detections to reduce false positives and rapidly remediate redundant or repetitive detections.
  • Investigate network anomalies and respond to cybersecurity incidents with a focus on AI-enabled cybersecurity operations.
  • Abide by all governance and standards as defined by the Board or levied by external entities to remain compliant with all requirements when implementing AI solutions.
  • Develop analytic products and reports that demonstrate the effectiveness of AI-enabled cybersecurity operations to include metrics, incident reports, and threat hunt analysis reports.

Required Qualifications

  • 5+ years of hands-on cybersecurity operations experience that includes use of technologies such as Splunk, CrowdStrike, Palo Alto, Trellix (FireEye), CoreLight, Cisco Firepower Threat Defense, etc.
  • 3+ years of hands-on cybersecurity operations experience that includes cloud resident technologies in Amazon Web Services, Microsoft Azure, Service Now, etc.
  • Hands on experience implementing AI solutions for a Security Operations Center (SOC) or Cybersecurity Operations team.
  • Experience using intrusion detection, prevention, and analysis platforms that are designed to identify and/or technically counter attempted intrusions.
  • Experience authoring and implementing custom detection content for signature-based detection systems, security information and event management (SIEM) systems, host-based detection systems, and firewall logic.
  • Experience monitoring real-time network activity flagged by a variety of intrusion detection, prevention, and analysis platforms and experience analyzing the resulting raw data, metadata, and event logs to confirm suspected intrusion attempts into either local (on-premises) or cloud computing systems.

Preferred Qualifications

  • Demonstrated experience implementing AI-enabled cybersecurity solutions in a SOC environment.
  • Experience operating in government environments that follow NIST, FISMA, FedRAMP, and OMB guidance.
  • Strong problem-solving and analytical skills
  • Excellent communication and documentation skills