Insperity
Kingwood, Houston, TX
Rotational AI Intern
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Apply to Rotational AI Intern at InsperityJob details
- Location
- Kingwood, Houston, TX
- Work type
- Onsite
- Posted
- 2 days ago
- Apply on
- insperity.wd12.myworkdayjobs.com
About this role
## 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).
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