Knowledge & AI Optimization Intern

Elsevier • Philadelphia, MO

1d • $28 - $30 • Remote

About The Position

Are you passionate about artificial intelligence and eager to gain hands-on experience in a collaborative and innovative environment this summer? Join our team as a Knowledge & AI Optimization Intern to help advance responsible AI practices, data governance, and user experience. About our Team Our global team supports products, education, and electronic health records that introduce students to digital charting and prepare them to document care in today’s modern clinical environment. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role This internship is part of the Rising TIDE program. Elsevier created its Rising TIDE internship program to foster inclusion and provide individuals with work experience in the corporate world so that we can develop a pipeline of talent for entry-level individuals for post-graduation opportunities. As a Knowledge & AI Optimization Intern, you will play a key role in improving the self-service experience for internal and external customers. This involves maintaining and enhancing our knowledge base (KB) and AI-driven systems to deliver accurate, accessible, and user-friendly content. Your work will help reduce avoidable customer queries, improve satisfaction, and support responsible AI practices. You will collaborate with cross-functional teams, analyze data to generate actionable insights, and contribute to strategic initiatives aligned with organizational goals and ethical standards. Location: This is a remote or home-based role, open to various locations in the Eastern and Central time zones. Program Dates: June 1, 2026- August 7, 2026 Eligibility: Undergraduate or graduate students expected to graduate by May 2027. How to Apply: Candidates must submit a resume and demonstrate technical work by including one of the following: a link to a portfolio website or GitHub profile, code samples, or relevant academic or personal projects to be included on their resume or cover letter.

Requirements

• Be currently pursuing a bachelor’s or master’s degree in data analytics, data science, software engineering, or a related field of study with a graduation date of May 2027.
• Demonstrate understanding of AI concepts, machine learning techniques, and Natural Language Processing (NLP).
• Possess proficiency in programming languages such as Python and R for AI model development.
• Have experience with data processing, analysis, and familiarity with big data tools and cloud platforms (AWS, Google Cloud, Azure).
• Possess effective communication skills, with the ability to write clearly and concisely.
• Display a customer-focused mindset and structured approach to problem-solving.
• Be able to manage multiple priorities and maintain organized processes.
• Be fluent in English and comfortable with digital tools and emerging technology trends.

Responsibilities

• Maintain and improve the Knowledge Base (KB) by creating, reviewing, and standardizing content for accuracy, clarity, and consistency.
• Collaborate with cross-functional teams to align knowledge strategies and key performance indicators.
• Analyze data and customer feedback to identify trends and opportunities for improvement.
• Curate and validate AI-generated content, ensuring compliance with data privacy, governance, and ethical standards.
• Support AI optimization tasks such as data cleaning, content tagging, classification, and fact-checking for model training.
• Lead a capstone project related to evaluating and implementing drive to web strategies across relevant products, and consuming Knowledge Management data, that could lead to query reduction and Customer Satisfaction.
• Promote responsible AI practices and foster a self-help community through knowledge sharing and process innovation.

What This Job Offers

• Career Level: Intern