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Intelligence Analyst Intern Jobs in Virginia (NOW HIRING)

NonTechnical Intern 4

Arlington, VA ยท On-site

$51K - $70K/yr

... analysis, working on litigation support, and assisting with other activities assigned by the ... with intellectual property matters; and assisting the Ethics Office with general and compliance ...

New

Our Digital Marketing Intern allows students to obtain a number of Google Certifications and ... Ability to bridge data analysis, research, competitive intelligence, and marketing savvy to build ...

Our Digital Marketing Intern allows students to obtain a number of Google Certifications and ... Ability to bridge data analysis, research, competitive intelligence, and marketing savvy to build ...

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Intelligence Analyst Intern information

See Virginia salary details

$9

$27

$60

How much do intelligence analyst intern jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for intelligence analyst intern in Virginia is $27.40, according to ZipRecruiter salary data. Most workers in this role earn between $14.73 and $37.40 per hour, depending on experience, location, and employer.

What does an intelligence analyst intern do?

An Intelligence Analyst Intern supports senior analysts by gathering, analyzing, and interpreting data from various sources to identify trends and potential threats. They often assist with research, prepare reports, and help develop recommendations for decision-makers. Interns may also participate in briefings and collaborate with law enforcement or government agencies. This role provides hands-on experience in the intelligence field and helps interns build analytical and critical thinking skills.

What types of projects and tasks can an intelligence analyst intern expect to work on during their internship?

As an Intelligence Analyst Intern, you can expect to work on a variety of projects that involve collecting, analyzing, and interpreting data from multiple sources to support decision-making. Typical tasks may include preparing intelligence briefings, conducting open-source research, identifying potential security threats, and assisting with the creation of analytic reports. Interns often collaborate with experienced analysts and cross-functional teams, gaining exposure to both independent research and group projects. This hands-on experience is designed to help you develop critical thinking and analytical skills while building a foundation for a potential career in intelligence analysis.

What are the key skills and qualifications needed to thrive as an intelligence analyst intern, and why are they important?

To thrive as an Intelligence Analyst Intern, you generally need strong analytical thinking, research abilities, and a background in international relations, criminal justice, or related fields. Familiarity with data analysis tools, open-source intelligence platforms, and sometimes security clearance are common requirements. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and presenting findings. These competencies are vital for producing accurate, actionable intelligence that supports informed decision-making in security and policy environments.

What is the difference between Intelligence Analyst Intern vs Intelligence Analyst?

AspectIntelligence Analyst InternIntelligence Analyst
Required CredentialsTypically pursuing or recent graduate with relevant courseworkBachelor's or master's degree in intelligence, security studies, or related field
Work EnvironmentInternship setting, often in government agencies or defense contractorsFull-time professional role in intelligence agencies, military, or private sector
Employer & IndustryGovernment agencies, defense contractors, research organizationsIntelligence agencies, military, law enforcement, private security firms
Search & Comparison IntentPeople exploring entry-level or internship opportunities in intelligenceIndividuals seeking full-time intelligence analyst roles

In summary, an Intelligence Analyst Intern is an entry-level position designed for students or recent graduates gaining initial experience, while an Intelligence Analyst is a full-time professional role requiring more experience and qualifications. Interns typically work under supervision, whereas analysts operate independently to analyze intelligence data and support decision-making.

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

The most popular types of Intelligence Analyst jobs in Virginia are:

What cities in Virginia are hiring for Intelligence Analyst Intern jobs?

Cities in Virginia with the most Intelligence Analyst Intern job openings:

Infographic showing various Intelligence Analyst Intern job openings in Virginia as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $56,997 per year, or $27.4 per hour.

Software Engineering Intern - Artificial Intelligence (Fall 2026)

Cynet Corp

Sterling, VA โ€ข On-site

Internship

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Cynet Systems Inc. is a proud participant in the Internships VA program. #InVA

Join an award-winning and talented organization that delivers world-class staffing and technology solutions. Working within a dynamic and innovative environment, you will have the opportunity to gain hands-on experience supporting cutting-edge Artificial Intelligence and Machine Learning initiatives while collaborating with experienced technical professionals.

As Cynet continues to expand its IT and technology capabilities, this internship provides a unique opportunity for a motivated individual to apply academic knowledge to real-world software engineering challenges and contribute to the development of AI-driven solutions.

About the Role

The Software Engineering Intern - Artificial Intelligence will support the design, development, testing, and optimization of software solutions focused on Artificial Intelligence and Machine Learning. This role will work closely with senior engineering leadership to assist with AI model development, data processing initiatives, and software development lifecycle activities.

The ideal candidate is passionate about emerging technologies, enjoys solving complex problems, and is eager to gain practical experience working with AI frameworks, cloud technologies, and enterprise-level software solutions.

What will you be doing day to day?
  • Collaborate with senior engineers to design, develop, and implement AI/ML solutions supporting business initiatives.
  • Assist with the creation and optimization of data pipelines supporting large-scale enterprise data processing across various systems.
  • Perform data preprocessing, cleaning, validation, and sanitization to prepare datasets for machine learning applications.
  • Develop, test, and maintain code using Python and/or TypeScript while ensuring quality and reliability.
  • Participate in software development lifecycle (SDLC) activities, including code reviews, unit testing, sprint planning, and Agile/Scrum processes.
  • Research and evaluate emerging Artificial Intelligence technologies, frameworks, and methodologies to improve system capabilities and efficiency.
  • Assist with documenting technical architectures, workflows, processes, and experimental results using Microsoft Office and technical visualization tools.
  • Collaborate with cross-functional teams to support the implementation and enhancement of AI-driven solutions.
  • Perform other duties and responsibilities as assigned.

Requirements

Your Experience
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, Software Engineering, or a related STEM discipline.
  • Coursework, projects, or research experience focused on Artificial Intelligence, Machine Learning, data science, or computational mathematics preferred.
  • Strong academic standing with a desire to apply theoretical knowledge to practical industry applications.
  • Previous internship, academic project, or hands-on experience with software development, data analysis, or AI/ML concepts preferred.
Your Skills
  • Proficiency in Python and/or TypeScript with a strong foundation in software development principles.
  • Familiarity with Artificial Intelligence and Machine Learning concepts, including Generative AI, Agentic AI, RAG, LangChain, LangGraph, and Vertex AI.
  • Basic understanding of databases, including SQL, NoSQL, and vector databases.
  • Exposure to cloud platforms such as Google Cloud Platform (GCP), Microsoft Azure, or Amazon Web Services (AWS).
  • Strong analytical, problem-solving, and communication skills with attention to detail.
  • Ability to collaborate effectively in a team-oriented environment and demonstrate a willingness to learn emerging technologies.

Benefits

About Cynet

Headquartered in the Washington, D.C. metro area, Cynet Systems is an award-winning and one of the fastest growing workforce solutions companies that help our clients realize their talent potential through custom staffing & recruiting solutions. Since its humble inception in 2010, Cynet has had a presence in all 50 States and over 2000 people strong spread across the US. For more information, please visit our website, www.cynetsystems.comย