Rotational AI Intern

There's a reason Insperity has earned national recognition from organizations such as Forbes, Fortune, Great Place to Work, Newsweek, TIME, and U.S. News & World Report, and has been named one of the Top 100 Companies to Work for in the U.S. Our commitment to developing future talent is equally celebrated. Insperity's internship program has been recognized as a Top 100 Internship Program by Yello/WayUp and was honored with the 2026 Campus Forward Award by RippleMatch for excellence in Recruitment Strategy, Innovation in Action, and Candidate Experience. 

Want to work for us and find out why? 

As a trusted advisor to America's best businesses for more than 40 years, Insperity provides an array of human resource and business solutions designed to help improve business performance.  

Rotational AI Intern 

We are seeking an AI Intern to work on projects and assignments with various diverse teams to design, develop, test, deploy, and maintain advanced AI-focused solutions. Each rotation will have projects that apply cutting-edge concepts to real-world business challenges and engage actively in problem framing and system design, translating business requirements into effective AI solutions. 

RESPONSIBILITIES: 

• Completes AI-focused work assignments by applying current AI concepts and tools, following procedures, meeting deadlines, and collaborating cross-functionally to support business initiatives.  

• Communicates progress, insights, risks, and improvement opportunities to project teams and leaders. 

• Engages in self-development by sharing AI knowledge, seeking and incorporating feedback, adapting to change, and contributing to rotation-specific objectives.  

• Supports AI solution design by assisting in problem framing, system design, and defining required interfaces, methods, and parameters.  

• Helps develop and refine AI models and workflows using machine learning, data analysis, and programming techniques (e.g., Python or R) under guidance from senior staff.  

• Contributes to creation and review of technical documentation, including semantic layers, knowledge graphs, and ontologies.  

• Participates in model evaluation, integration testing, and user acceptance testing (UAT).  

• Provides troubleshooting support for non-complex issues related to algorithms, data pipelines, and API integrations.  

• Collaborates with IT and AI teams to ensure adherence to architectural standards, design patterns, and ethical AI practices (including bias mitigation and compliance).  

• Applies knowledge of emerging AI trends (e.g., Visual AI, Rules Engines, Recommender Systems, and Responsible AI) to develop insight into industry best practices.  

• Develops organizational and technical familiarity by engaging with AI publications, attending training events, and exploring generative AI tools.  

• Assists in implementation and post-implementation support for AI-driven business solutions, including configuration and enhancement of models and applications.  

• Participates in networking and learning events with interns and associates working across AI and related functions.  

• Provides feedback to support continuous improvement of the AI internship program. 

QUALIFICATIONS: 

• High School Diploma or equivalent is required.  

• Actively pursuing or has obtained a Bachelor’s Degree in AI or a related field is required. 

• GPA of 3.25 or higher is preferred.  

• Understanding of core AI and data concepts including: 

• Machine Learning Fundamentals (algorithms, model training, evaluation) 

• Data Structures & Pipelines for handling structured and unstructured data 

• Neural Networks & Deep Learning Basics 

• Natural Language Processing (NLP) and Computer Vision principles 

• Cloud & API Integration for deploying AI models 

• Understanding of ethical AI use, bias mitigation, and compliance standards. 

• Exposure to model optimization, performance tuning, and scalable deployment strategies. 

• Understanding of advanced AI concepts related to data relationships and reasoning. 

• Some level of proficiency with common AI and data science languages (e.g., Python, R, SQL) with exposure to scripting for automation and data manipulation. 

• Ability to adapt quickly, learn new skills quickly, and work effectively in ambiguous situations. 

• Strong analytical thinking, sound judgment, and problem solving skills. 

• High level of professionalism and ability to handle sensitive/confidential information appropriately. 

• Effective time management skills with the ability to multi-task and prioritize. 

• Strong problem-solving and collaboration skills. 

• Excellent verbal and written communication skills, including basic presentation skills. 

• Collaboration and leadership capability; works well in a team environments. 

• Initiative driven, intellectually curious, and motivated to deliver results. 

• Proficiency with computer applications and Microsoft Office Suite (Word, Excel, PowerPoint).