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

As of Aug 23, 2026, the average hourly pay for internship artificial intelligence policy in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an internship in artificial intelligence policy?

An Internship in Artificial Intelligence (AI) Policy involves working with organizations, think tanks, or government agencies to research, analyze, and help shape policies related to the development and use of AI technologies. Interns may assist with drafting policy documents, monitoring legislative developments, and evaluating the societal impacts of AI. This role provides exposure to the intersection of technology, law, and ethics, and is ideal for students interested in understanding how regulations can guide the responsible implementation of AI.

What kinds of projects or tasks can I expect to work on during an artificial intelligence policy internship?

As an AI Policy intern, you can expect to work on research and analysis of emerging regulations, draft policy briefs, and monitor legislative developments related to artificial intelligence. You'll likely collaborate with legal, technical, and policy experts to assess the societal impacts of AI technologies and help develop recommendations or guidelines. Interns often contribute to organizing stakeholder meetings or preparing educational materials, providing a hands-on opportunity to engage with real-world policy challenges in a dynamic, interdisciplinary environment.

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

To thrive as an Artificial Intelligence Policy Intern, you need a solid grounding in public policy, ethics, and AI concepts, often supported by coursework or a degree in related fields such as political science, computer science, or law. Familiarity with policy analysis tools, research databases, and basic data analysis software (e.g., Excel, Python) is valuable, as is understanding regulatory frameworks. Exceptional written and verbal communication, critical thinking, and the ability to synthesize complex information are essential soft skills for this role. These capabilities enable interns to effectively contribute to policy research, draft impactful recommendations, and support informed decision-making in the rapidly evolving AI policy landscape.

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

AspectInternship Artificial Intelligence PolicyData Privacy Intern
Required CredentialsRelevant coursework in AI, policy, lawBackground in data privacy, cybersecurity, law
Work EnvironmentPolicy development, research, stakeholder engagementData analysis, compliance, privacy assessments
Employer & Industry UsageTech companies, government agencies, think tanksTech firms, legal departments, regulatory bodies
Search & Comparison IntentUnderstanding AI policy roles and responsibilitiesExploring data privacy internship opportunities

Internship Artificial Intelligence Policy focuses on developing and analyzing policies related to AI technology, often involving research and stakeholder collaboration. Data Privacy Internships concentrate on data protection, compliance, and privacy regulations. Both roles require knowledge of legal and technical aspects but differ in their primary focus—policy versus data security—serving different but related sectors within the tech industry.

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Internship Artificial Intelligence Policy jobs near you
Infographic showing various Internship Artificial Intelligence Policy job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Software Engineering Intern - Artificial Intelligence (Fall 2026)

Cynet Corp

Vienna, VA • On-site

Internship

This job post has expired 2 days ago. 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.com 

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