Sourcing and Outreach Intern

About the role

The best applicants do not always find a posting on their own. You will find them, and the career centers and student groups that reach them, and start the conversation.

This internship is 100% remote and open to students anywhere in the United States or the United Kingdom. It is 20 hours a week for the Fall 2026 term.

What you will do

• Build lists of relevant clubs, departments and career centers at US universities, with a contact for each.
• Write and send outreach emails to career services, and track who replied and what came of it.
• Search LinkedIn and Handshake for candidates who fit an open role and invite them to apply.
• Report each week on which sources are producing applications and which are not.

What we look for

• A current student or recent graduate. Any major is fine if you can show the work.
• You are comfortable cold-emailing and you take a no without taking it personally.
• You know your way around LinkedIn and at least one campus recruiting platform.
• You keep an outreach tracker tidy enough that someone else could pick it up.

Hours, pay and terms

• 20 hours a week, part time.
• Fully remote. You can be anywhere in the United States or the United Kingdom.
• Unpaid. There is no stipend and no health coverage.
• Perks: a letter of recommendation at the end of the term, course credit support (we sign faculty sponsor forms, take check-in calls with your professor and complete end-of-term evaluations), mentorship, and help with your resume and LinkedIn.
• You get access to the AI tools you need for your work.
• Fall term runs August 10 to December 18, 2026, with rolling start dates inside the term.
• Applications close October 31, 2026.
• Work authorization is not required.

Course credit

Course credit is supported. We sign faculty sponsor forms, take check-in calls with your professor, and complete end-of-term evaluations. Your supervisor is Jeffrey Escobar, CTO.

How to apply

Send your resume or CV and a few sentences about your goals: what you want to learn, what you want to work on, and why House AI. That is all we need to start. We read every application.