Hearst Verified

Media, Publishing, Information Services, Automotive

Rebele Editorial AI Development Intern

San Francisco, CAHybridInternshipJunior / Entry-levelPosted 4 days ago

Is this role right for you?

Upload your resume and get a skill-by-skill breakdown — see exactly where you match, where you're close, and what to highlight. Not a mystery percentage.

Get a tailored resume highlighting what this role needs.

Required skills

AI tooling
prototypes
JSON
web architecture
Git
Github
newsroom
student publications
self-manage
multiple projects

Nice to have

prompt design
evaluation workflows
AI product prototyping
AI-integrated IDEs
Github Copilot
Cursor

Role summary

Hearst Newspapers (HNP) DevHub is seeking a Newsroom AI Intern to contribute to editorial AI services and newsroom tools. This role involves hands-on support for AI initiatives, prototyping AI workflows, developing internal tooling for scalability, and writing documentation. The intern will also support experimentation and evaluation of AI-driven utilities and collaborate on data-driven AI projects. The ideal candidate has experience with AI tooling, prompt design, JSON, Git, and newsroom environments, with a passion for local journalism and community service. This is a paid, full-time internship (20-40 hours/week) for 10-14 weeks.

Role Overview

The Hearst Newspapers (HNP) DevHub is hiring a Newsroom AI Intern for the winter season as part of the Rebele Journalism Internship Program. We’re looking for someone who is passionate about local news, journalism and service to our communities. In this role, you’ll contribute hands-on automation and enablement support to extend and strengthen our growing suite of editorial AI services and newsroom tools, while building your own skills along the way.

The HNP DevHub is a centralized team of engineers, developers, designers, project managers and content strategists who collaborate with local newsrooms to create best-in-class digital experiences. We make things like election results pages, searchable databases, severe weather trackers, alternative story formats and whatever else you can dream up. Learn more about the DevHub here.

Hybrid: HNP operates on a hybrid work week schedule.

What You’ll Do

Provide hands-on support for our editorial AI initiatives.

Prototype newsroom-facing AI workflows, such as Slack-based alerts, utilities and reporting tools.

Contribute to internal tooling that makes our workflows and development processes more repeatable and scalable.

Write clear internal documentation to support adoption and maintainability.

Support experimentation and evaluation of AI-driven newsroom utilities.

Collaborate with team members on data-driven AI projects.

Learn how to create digital tools and experiences that make communities stronger and readers’ lives easier.

What You’ll Bring

Ideal candidates will be able to showcase some of the following. We do not expect candidates to be proficient in every area.

Experience with AI tooling and a proven track record of building prototypes with AI.

Familiarity with prompt design, evaluation workflows or AI product prototyping.

Understanding of JSON and basic web architecture.

Working knowledge of Git and GitHub.

Experience in a modern newsroom (including student publications) or a related work environment.

Ability to self-manage and handle multiple projects and fast deadlines.

Comfort with Slack, Zoom and Google Sheets.

Any experience with the following tools and systems is a plus:

AI-integrated IDEs (GitHub Copilot, Cursor).

AWS systems such as S3, EC2 and Lambda.

If you’re passionate about ambitious local journalism, don’t hesitate to apply and tell us about yourself. We know there are many great candidates who may not check all of these boxes.

Internship Details

This position is full time and paid: $21.87 per hour.

Hours are 20 to 40 per week, depending on the candidate’s requirements.

The internship will be hosted over 10 to 14 weeks, starting in January.

#LI-DH1#LI-Hybrid

Ready to apply?

You'll be redirected to Hearst's application page.