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ElsevierEL

Knowledge & AI Optimization Intern

Elsevier is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. It has evolved from a traditional publisher into a company that provides digital solutions and tools for data management, instruction, research analytics, and assessment.

Elsevier

Employee count: 5000+

Salary: 58k-62k USD

United States only

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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.

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.

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.

About the Business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Salary Range

$28/hour for undergraduate students

$30/hour for graduate students

#risingtide

This position is not eligible for benefits.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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About the job

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Job type

Intern

Experience level

Entry-level

Salary

Salary: 58k-62k USD

Education

Bachelor degree
Postgraduate degree

Experience

No experience required

Location requirements

Hiring timezones

United States +/- 0 hours

About Elsevier

Learn more about Elsevier and their company culture.

View company profile

At Elsevier, our core mission is to help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. This purpose has been the driving force behind our evolution from a traditional publisher, with a rich history spanning over 140 years, into a global leader in information and analytics. We are committed to facilitating insights and critical decision-making for our customers across the global research and health ecosystems. Our culture is one that cultivates collaboration and encourages the cross-pollination of groundbreaking ideas. We strive to make complex subject matter user-friendly and to transform theoretical knowledge into actionable solutions. The support we provide to the world's most progressive thinkers and clinicians is instrumental in creating a better world and fostering a sustainable future for everyone.

Our team of over 9,700 employees, spread across 46 countries, serves customers in 180 nations worldwide. This global presence allows us to understand and address the diverse needs of academic and government institutions, research-intensive corporations, healthcare organizations, and students. We believe in empowering our people to make the right decisions and hold ourselves accountable for delivering the best outcomes, all while striving for meaningful innovation. Continuous learning is a cornerstone of our environment; we encourage curiosity to stimulate innovation for the communities we serve. The Elsevier Experience is built on three pillars: purposeful work, growing every day, and a commitment to wellness and wellbeing. We understand the critical link between work, health, and wellbeing, and our leadership and employees collaboratively foster a connected, caring, supportive, and nurturing workplace. We champion a healthy work-life balance, recognizing its importance not only for individual health and relationships but also for enhancing performance and dedication. By enabling our people to thrive, we cultivate a work environment where they are dedicated, mindful, and empowered to contribute to our overarching mission of advancing knowledge and improving lives.

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Elsevier hiring Knowledge & AI Optimization Intern • Remote (Work from Home) | Himalayas