Newsweek

Newsweek

Associate News Editor

Remote, United States · Full-time

Sponsorship not specified$70k-$80kDetected 76 days ago
LLMsMicrosoft Office

About the role

  • Newsweek reaches 100 million people each month with thought-provoking news, opinion, images, graphics, and video delivered across a dozen print and digital platforms.

Responsibilities

  • Continuously learn and implement new AI technologies to enhance reporting efficiency.

Requirements

  • Relevant experience in digital news journalism, with a background in reporting, pitching and assigning stories, and competency with editing and publishing.
  • Ability to produce and edit content under tight deadlines.
  • Proficiency with digital publishing tools, content management systems, and editing software.
  • Familiarity with standard IT tools such as Microsoft Office and Teams.
  • Perform other reasonable editorial duties as required.

Skills

  • Newsweek is the global media organization that has earned audience time and trust for more than 90 years.
  • Headquartered in New York City, Newsweek also publishes international editions in EMEA and Asia.
  • Newsweek is seeking an Associate Editor to join our US digital newsroom, focused on AI assisted news production.
  • They will demonstrate sound editorial judgment and a solid understanding of media law.
  • They will be agile, learning and adapting to new tools, platforms, methods and techniques for news reporting in a digital newsroom.

Compensation

  • $70,000 - $80,000 commensurate with experience

Benefits

  • Pitch original ideas, topics and beats to cover that complement automated coverage.
  • Collaborate with the US News Editor and wider editorial team on projects and coverage plans.

Equal opportunity

  • Newsweek is an equal opportunity employer. We seek employees of diverse backgrounds and are committed to providing an inclusive, equitable and respectful workplace.
  • Newsweek is an equal opportunity employer.

This listing is sourced directly from Newsweek's careers page and normalized into a canonical job model.