【2028 Graduates／Non-Tech】 Recruiter Intern, Amazon University Talent Acquisition

Application Deadline: 9/27/2026*Further details on selection to be announced in September 2026*This is a 2027 summer internship opportunity for Bachelor/Master's degree students graduating in 2028. 【Application Process/応募フォーム】1.

Please submit your English resume with a 1 paragraph description of your interest in Amazon, as well as relevant experience2.

Please include the following in the resume:- Full name (Kanji/Katakana, or Roman alphabet) - Address (including postal code) - University name - Faculty name - Expected graduation date - Expected degree - Email address - Phone number【Internship /インターンシップ概要】Internship Duration : 8-12 weeks (2027 Summer)Full time: 40 hours/week (5 days in office)Paid Internship【Selection Process/選考プロセス】Application - Online Assessment - Interview - Internship【Job Description】Amazon Japan is excited to provide Campus Recruiter internship opportunities for 2028 graduates in 2027.

As a Campus Recruiter Intern, you will join Amazon's University Talent Acquisition (AUTA) team to shape the future of early-career hiring in Japan.

You will drive impactful recruitment initiatives, organize engaging campus events, and contribute to building Amazon's next generation of talent — directly influencing how Amazon attracts and hires top university students across the country.

Such projects include but are not limited to Campus Recruitment Operations, Employer Branding and Campus Engagement, and Campus improvement projects. About the teamAmazon's University Talent Acquisition (AUTA) team is responsible for attracting, engaging, and hiring early-career talent across Japan.

The team partners with business leaders, hiring managers, and university stakeholders to build scalable pipelines for internship and new graduate hiring across multiple functions — including Operations, Engineering, Finance, and more.

Interns are welcomed as full team members, with direct exposure to strategic recruitment planning, stakeholder management, and large-scale event execution.