Data Journalism Internship in a B2B supply chain publication - Remote

Descrição do trabalho

Our collaborator is a B2B trade publication focused on logistics, warehousing, procurement, transportation, artificial intelligence in supply chain, and industrial technology. They provide editorial content for industry professionals and are looking for motivated individuals who want to build real journalistic skills while working with AI tools and operational research processes.

     

Tarefas

• Learn how to identify operational issues in supply chain and logistics, including warehouse execution, routing inefficiencies, inventory pressure, and exception handling.
• Draft targeted media queries for industry executives and operators.
• Produce short editorial pieces under editor supervision.
• Use AI tools daily to support research, structuring, and drafting.
• Supervise AI-generated outputs, refine final copy, and ensure editorial quality.
• Develop published work with a personal byline.

 

Requisitos

• Strong interest in journalism, trade media, technical processes, or AI tool use.
• No previous journalism or supply chain experience required.
• Comfortable learning new tools quickly.
• Ability to follow structured workflows.
• Reliable English writing skills, either native or strong professional level.
• Interest in researching operational realities and transforming complex industry topics into clear editorial content.
• Motivation to work in an entry-level, remote internship environment.

Condições

• Fully remote internship.
• Structured training provided.
• Opportunity to develop real journalistic and editorial skills.
• Daily experience using AI tools for professional research and content creation.
• Published work with personal byline.
• Clear progression path to work independently as a journalist after qualification.
• Strong performers may access paid assignments through an affiliate journalist program.

Availability and hours:

• Unpaid internship lasting 3 to 6 weeks.
• Around 15 hours required during the first week for training.
• Flexible part-time schedule after the initial training week.

Location:

• Remote.