πŸ“
Morrisville, NC

ISS AI Application Intern - Spring 2026

Internship
Technology & Digital
Data / Analytics
Posted:
December 29, 2025

Lenovo

Smart devices & infrastructure technology leader
79.3
Palpable Score
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Lenovo is seeking a Spring 2026 Intern to join the Lenovo Services Knowledge Management and AI Enablement team. This will be a part-time role (16 hours/week) located in Morrisville, NC.

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The Lenovo Services organization is developing various AI applications to enable our customers and service experts to more easily find the information that they need when the need it. In addition to our large end-to-end projects, we are building and testing several smaller Proof of Concept projects, which are adopted if their results are solid.

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This internship role is to support these efforts, by performing data analytics, testing multi-model AI solutions, comparative analysis between models, setting up testing environments and collaborating with an international team to present and jointly validate results.

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Required Qualifications

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About the company

Lenovo

Company overview
Lenovo is a global technology company that designs and sells PCs, laptops and workstations (including the ThinkPad line), plus tablets, monitors, accessories, and gaming devices. The company also sells enterprise infrastructure such as servers, storage, and edge solutions, alongside services that support deployment and managed IT needs. Through Motorola Mobility, Lenovo also competes in smartphones and related mobile hardware. Lenovo sells to both consumers and large organisations through retail, channel partners, and direct enterprise sales.

Locations and presence

Lenovo is incorporated and listed in Hong Kong, with headquarters in Beijing (China) and Morrisville, North Carolina (USA). Early-career programmes highlighted publicly are commonly office-based and rotational, with flexibility described as varying by programme and region.

Palpable Score

79.3
/ 100
Lenovo scores well because Lenovo publishes clear evidence of high-volume early-career hiring through internships and structured rotational pathways across multiple regions. The main limiter is that hiring transparency and feedback expectations are described well for some programmes, but less consistently across the wider job family mix, and public outcome data on retention and promotion rates is limited.
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