Intern AI

Insperity provides the most comprehensive suite of scalable HR solutions available in the marketplace with an optimal blend of premium HR service and technology. With more than 90 locations throughout the U.S., Insperity is currently making a difference for thousands of businesses and communities nationwide.

Behind our success is the unshakeable belief in the value of our people. We value diversity, inclusivity and a sense of belonging. We celebrate work and life events, and we partner with our clients and communities to make great things happen.

We have received recognition numerous times as a top place to work, most recently ranking on Glassdoor’s “Best Places to Work in the U.S. 2024” list, and U.S. News & World Report’s “Best Companies to Work for 2024” list. In addition, we have been recognized for having one of the country’s Top 50 Midsize Early Talent Programs by RippleMatch’s 2024 Campus Forward Awards. There is no better time to be a part of Insperity, and our best work is yet to come. Learn more at Insperity.com.

Why Insperity?

Flexibility: Over 80% of Insperity’s jobs have flexibility. We want your time to have balance, whether it’s spent with coworkers, clients, family or your community.

Career Growth: Insperity provides many ways to grow with the company. We offer continuous learning programs, mentorship opportunities and ongoing training.

Well-Being: Our total rewards package includes generous paid time off, top-tier medical, dental and vision benefits, health & wellness support, paid volunteer hours and much more. We take care of our people so that you can do your best work.

Rotates through diverse teams to design, develop, test, deploy, and maintain advanced AI-focused solutions. In each rotation, applies cutting-edge concepts to real-world business challenges. Engages 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 3.0 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).
  
  

At Insperity, we celebrate the diversity of our employees and our leadership. Insperity is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.