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How much do artificial intelligence marketing intern jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for artificial intelligence marketing intern in the United States is $17.08, 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.

How does an artificial intelligence marketing intern typically collaborate with marketing and technical teams?

As an Artificial Intelligence Marketing Intern, you'll frequently work alongside both marketing strategists and data scientists to bridge the gap between campaign goals and AI-driven insights. Your responsibilities may include analyzing data trends, preparing reports for marketing leads, and supporting the implementation of AI tools within campaigns. Communication and teamwork are essential, as you'll translate technical findings into actionable marketing strategies, contribute ideas during brainstorming sessions, and help troubleshoot any integration challenges. This collaborative environment offers valuable exposure to both marketing principles and emerging AI technologies.

What does an artificial intelligence marketing intern do?

An Artificial Intelligence Marketing Intern assists with implementing AI technologies and data-driven strategies to improve marketing efforts. Their tasks often include analyzing consumer data, helping to automate marketing campaigns, and supporting the development of AI-powered tools for content creation, customer segmentation, and campaign optimization. They typically work under the guidance of marketing and AI professionals, gaining hands-on experience with emerging technologies in a real-world business environment.

What is the difference between Artificial Intelligence Marketing Intern vs Digital Marketing Intern?

AspectArtificial Intelligence Marketing InternDigital Marketing Intern
Required SkillsKnowledge of AI tools, data analysis, marketing strategiesSocial media, content creation, SEO basics
Work EnvironmentTech-focused, data-driven projectsCreative campaigns, online platforms
Industry UsageTech companies, AI startupsVarious industries, marketing agencies

The Artificial Intelligence Marketing Intern role focuses on integrating AI tools and data analysis into marketing strategies, often within tech-driven environments. In contrast, the Digital Marketing Intern handles social media, content, and SEO tasks across diverse industries. Both roles require foundational marketing knowledge, but AI marketing internships emphasize technical skills related to AI and data, making them suitable for candidates interested in tech and analytics.

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

To thrive as an Artificial Intelligence Marketing Intern, you need a foundational understanding of marketing principles, basic knowledge of data analytics, and familiarity with AI concepts, typically supported by coursework or relevant internships. Experience with tools like Google Analytics, social media platforms, and AI-powered marketing software (e.g., HubSpot, Salesforce Einstein) is highly valuable. Strong communication, creativity, and a willingness to learn help interns stand out by enabling effective collaboration and innovative thinking. These skills are vital for leveraging AI-driven insights in marketing campaigns and adapting to rapidly evolving digital strategies.
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Artificial Intelligence Marketing Intern jobs near you
Infographic showing various Artificial Intelligence Marketing Intern job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $35,518 per year, or $17.1 per hour.

Software Engineering Intern - Artificial Intelligence (Spring 2027)

Cynet Corp

Leesburg, FL • On-site

Internship

Posted 3 days ago

New

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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