Hearst AI Development Editor at Hearst to integrate AI into newsroom tools and workflows, working closely with reporters and editors. Responsible for building AI pipelines, ensuring accuracy, and training colleagues on AI tools.
Responsibilities
Editorial Leadership
Leverage AI in the building of utility products for consumers.
Evaluate, pilot and integrate generative AI and automation tools into the newsroom.
Work with the Senior Editor, Data and AI Innovation to develop standards and best practices for AI use in reporting, editing, fact-checking and audience engagement.
Lead training sessions and provide support for editors and reporters using AI tools.
Oversee the editorial work of AI developers across our newsrooms.
Innovation + Strategy
Identify opportunities where AI can augment journalism (e.g., enhanced data collection, transcription, summarization, civic coverage, audience personalization).
Stay ahead of industry developments and assess emerging tools, vendors and partnerships.
Collaborate with product and engineering teams on internal tools to improve efficiency and enhance storytelling.
Oversight + Governance
Ensure AI applications align with ethical journalism standards and company AI policies.
Qualification
Technical literacyExpertise in prompt engineeringCommitment to ethical journalism
Required
Demonstrated experience experimenting with AI or automation tools in a journalistic context.
Familiarity with generative AI platforms (e.g., ChatGPT, Claude, Gemini) and newsroom-focused tools (transcription, summarization, translation, meeting monitors).
Technical literacy: ability to work with APIs, structured data, or scripting languages (Python, JavaScript) preferred.
Expertise in prompt engineering.
Excellent communication and training skills; able to translate technical concepts for nontechnical colleagues.
Ability to self-manage and prioritize multiple projects simultaneously, meeting tight deadlines without compromising on quality.
Commitment to ethical journalism, transparency and accuracy.
Adoption and effective use of AI tools across newsroom teams.
Documented guardrails and AI-use policies in place.
Increased efficiency in newsroom workflows without loss of quality.
Editorial projects that showcase innovative and responsible use of AI.
Positive feedback from newsroom staff on training and support.