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Internship Artificial Intelligence Marketing Jobs

MS degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or ... For decades, we've provided marketers from the world's leading brands the data, technology and ...

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Internship Artificial Intelligence Marketing information

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

As of Aug 30, 2026, the average hourly pay for internship artificial intelligence marketing 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.

What is the difference between Internship Artificial Intelligence Marketing vs Internship Data Analysis?

AspectInternship Artificial Intelligence MarketingInternship Data Analysis
Required CredentialsBasic knowledge of AI, marketing, and data toolsStatistical skills, Excel, data visualization
Work EnvironmentMarketing teams, AI development projectsData teams, research departments
Employer & Industry UsageMarketing agencies, tech companiesFinance, healthcare, retail sectors
Search & Comparison IntentUnderstanding AI's role in marketingAnalyzing data for insights

Internship Artificial Intelligence Marketing focuses on applying AI techniques to marketing strategies, while Internship Data Analysis emphasizes analyzing data to derive insights. Both roles require analytical skills but differ in their primary focus and industry applications.

What cities are hiring for Internship Artificial Intelligence Marketing jobs?

Cities with the most Internship Artificial Intelligence Marketing job openings:

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

The most popular types of Artificial Intelligence Marketing jobs are:

What states have the most Internship Artificial Intelligence Marketing jobs?

States with the most job openings for Internship Artificial Intelligence Marketing jobs include:

Internship - Artificial Intelligence - Software Modernization

Pittsburgh, PA • On-site

RJ Lee Group, Inc
201 - 500 employees

Other

Posted 2 days ago

New


Job description

Only candidates physically located in the Pittsburgh, PA metro region will be considered. This is not a remote position.


Position Summary 

The AI – Software Modernization Internship is an exciting opportunity for students passionate about emerging technology to help transform RJ Lee Group's internal business ecosystem. Interns will work on projects that integrate AI capabilities into existing workflows, helping to automate and streamline core business and scientific processes.  

Key Responsibilities 

  • Assist in identifying and scoping opportunities for AI/ML integration within existing business and laboratory software systems  

  • Support development and testing of AI-assisted tools, automation scripts, or workflow enhancements  

  • Research and evaluate modern AI frameworks, APIs, and platforms for practical applicability  

  • Collaborate with cross-functional teams including scientists, IT, and operations to implement process improvements  

  • Document findings, workflows, and project outcomes for internal use  

Qualifications 

  • Currently pursuing a degree in Computer Science, Data Science, AI/ML, or a related field (at least 2 years completed)  

  • Foundational understanding of machine learning concepts and/or experience with AI tools and frameworks (e.g., Python, TensorFlow, OpenAI APIs, LangChain, etc.)  

  • Intellectual curiosity and enthusiasm for applying AI to real-world business problems  

  • Strong communication skills to bridge technical and non-technical stakeholders  

  • Must be able to work onsite during the internship period.

Core Competencies 

  • Attention to Detail 

  • Confidentiality & Integrity 

  • Organization & Time Management 

  • Communication & Professionalism 

  • Adaptability & Change Management 

  • Data Accuracy & Compliance 

Internship Duration  

  • Start Date: September/October 2026  

  • End Date: End of 2026 (flexible based on academic schedules)  

  • Full-time or part-time schedule options depending on department needs  

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