Join RTI International’s Global Human Resources team this summer for an immersive experience at the intersection of AI, HR strategy, and business impact, while gaining meaningful, real-world exposure across multiple HR disciplines. We are seeking two enthusiastic interns to join our HR team for a structured summer internship focused on exploring the role of AI in streamlining recruitment processes and enhancing candidate experience.

Program Structure: Intern Pods & Rotations

Interns will work in a collaborative pod model, partnering closely with another intern to drive shared deliverables and cross-learning.

Throughout the internship, interns will rotate across three core HR functions to gain a holistic view of the employee lifecycle:

HR Systems: Exposure to systems, tools, and AI applications supporting HR operations.

Talent Acquisition Partnering: Direct experience with recruitment strategy, candidate experience, and hiring workflows.

HR Business Partnering: Insight into workforce planning, stakeholder support, and organizational strategy

Each rotation will include defined deliverables, mentorship, and opportunities to present insights back to HR leadership.

HR Resource and Enablement Hub

• Help design a centralized resource for HR staff to support easier access to tools, guidance, examples, templates, and learning resources.
• Organize content in a user-friendly structure that may include HR specific example prompts, tool guidance, process resources, FAQs, templates, learning materials, and practical use cases.
• Identify what HR staff need to know about available tools, when to use them, and what types of information are appropriate to include in different systems or platforms.
• Recommend the best format for the hub, such as OneNote, SharePoint, an internal site, or another accessible platform.
• Develop recommendations for how the hub should be maintained, governed, and refreshed after the internship ends.

Key Responsibilities

Research and Analysis:

• Conduct research on the integration of AI in Human Resources, focusing on recruitment strategies and candidate engagement.
• Analyze existing recruitment technologies and their impact on efficiency and candidate satisfaction.
• Review case studies and industry trends to identify leading practices and actionable insights.

Project Development:

• Collaborate within intern pods to produce a comprehensive report on AI applications in HR.
• Develop and deliver presentations summarizing findings and strategic recommendations.
• Create frameworks or tools to assess effectiveness of AI-driven recruitment solutions.

Process Improvement:

• Identify opportunities to optimize recruitment workflows and improve candidate experience.
• Evaluate and recommend emerging technologies or tools.
• Analyze feedback from candidates and hiring teams to propose enhancements.

Cross-functional Collaboration:

• Engage with HR Systems, Talent Acquisition Partner, and HR Business Partner teams during rotations.
• Partner with stakeholders to understand real-world challenges and align solutions to business needs.
• Participate in team discussions and contribute ideas on process and technology innovation.

Learning Objectives

By the end of the internship, participants will be able to:

• Understand how AI and technology are applied across HR functions, particularly in recruitment and workforce planning.
• Analyze and evaluate HR processes and tools to identify efficiency and experience improvement opportunities.
• Develop and communicate strategic, data-informed recommendations to HR stakeholders.
• Gain practical experience working in cross-functional teams and business-facing HR roles.
• Build foundational skills in research, problem-solving, and executive-level presentation development.

Qualifications

• Currently entering your Junior or Senior year pursuing a Bachelor's degree in Human Resources, Business Administration, Psychology, Data Science, or related field.
• Strong interest in HR, recruiting, and technology applications.
• Familiarity with AI or data analytics concepts is preferred.
• Strong analytical, research, and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to collaborate effectively in a team-based (pod) environment.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).