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

As of Sep 1, 2026, the average hourly pay for internship artificial intelligence finance in the United States is $19.86, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.36 per hour, depending on experience, location, and employer.

What is an internship in artificial intelligence finance?

An Internship in Artificial Intelligence Finance is a temporary position where students or recent graduates gain practical experience applying AI techniques within the finance industry. Interns may work on projects involving data analysis, algorithm development, risk modeling, or financial forecasting using machine learning and other AI tools. The goal is to help interns understand how AI transforms financial services, such as banking, investment management, and insurance. This hands-on experience often involves collaboration with professionals and can lead to full-time job opportunities in fintech or related fields.

What are the key skills and qualifications needed to thrive as an artificial intelligence finance intern?

To thrive as an Artificial Intelligence Finance Intern, you need a solid background in finance, statistics, and programming languages such as Python or R, often supported by coursework or a degree in a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or Scikit-learn), and financial modeling systems is highly advantageous. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with cross-functional teams. These competencies enable you to contribute valuable AI-driven insights that support financial decision-making and innovation.

What types of projects can I expect to work on during an artificial intelligence finance internship?

As an Artificial Intelligence Finance intern, you'll typically work on projects involving data analysis, algorithm development, or automation of financial processes. Common tasks include building predictive models for market trends, analyzing large financial datasets, and supporting the integration of AI tools within existing financial systems. You'll often collaborate with data scientists, financial analysts, and IT professionals, gaining exposure to the intersection of technology and finance. These experiences provide valuable skills and insights that can help you advance in both AI and finance careers.

What is the difference between Internship Artificial Intelligence Finance vs Internship Data Science Finance?

AspectInternship Artificial Intelligence FinanceInternship Data Science Finance
Required CredentialsBasic programming, knowledge of AI/ML concepts, relevant courseworkStatistics, programming, data analysis skills, relevant coursework
Work EnvironmentCollaborative teams focusing on AI models and algorithms in financeData analysis, modeling, and reporting in finance settings
Employer & Industry UsageTech firms, financial institutions integrating AI solutionsFinancial firms, consulting agencies analyzing financial data

Internship Artificial Intelligence Finance focuses on developing AI models and algorithms for financial applications, while Internship Data Science Finance emphasizes analyzing and interpreting financial data using statistical methods. Both roles require programming skills and relevant coursework, but AI internships are more centered on machine learning and AI techniques, whereas Data Science internships focus on data analysis and reporting.

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Internship Artificial Intelligence Finance jobs near you
Infographic showing various Internship Artificial Intelligence Finance job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $41,299 per year, or $19.9 per hour.

Internship - Artificial Intelligence - Software Modernization

Pittsburgh, PA • On-site

RJ Lee Group
201 - 500 employees
Learn more about RJ Lee Groupexternal

Full-time, Part-time, Internship

Posted 5 days ago

Job description

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
  • Assistinidentifyingand 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
  • Currentlypursuing 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 communicationskills to bridge technical and non-technical stakeholders
  • Must be able to work onsite or in a hybrid capacity 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: May or June
  • End Date: End of summer (flexible based on academic schedules)
  • Full-time or part-time schedule options depending on department needs

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