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Posted 7 Jul 2026

Media & Information AI Training Specialist — Task Creation & Model Evaluation

As a Media & Information AI Training Specialist at Rise Data Labs, you will play a crucial role in training and enhancing AI models specifically tailored for journalism, editorial, and video/film production work.

Worldwide
Hiring companyRise Data Labs
Application processN/ANo approved reviews yet
Work experienceN/ANo approved reviews yet

About the role

This role goes beyond traditional annotation and labeling — you'll author realistic, economically valuable media tasks and rubrics based on your own professional experience, then grade AI-generated deliverables against them.

What We Offer

  • At Rise Data Labs, we value our contributors and strive to create a supportive, flexible working environment.
  • We offer opportunities for professional development in the AI field and the chance to work on innovative projects that directly shape the future of AI in media, journalism, and video production.

Responsibilities

  • Create realistic work scenarios based on your own professional experience — e.g., drafting or editing an article, fact-checking and sourcing, writing a script or shot list, reviewing a rough cut or storyboard.
  • Supply the kinds of reference materials you'd normally work from (source documents, style guides, scripts, production notes).
  • Write detailed rubrics specifying exactly what a correct, publication-ready or production-ready deliverable requires — accurate sourcing, correct style/format, sound editorial or production judgment.
  • Grade AI-generated deliverables (often written pieces, scripts, or production documents) against your rubric.
  • Join calibration sessions with other experts to ensure consistent scoring across the benchmark.

Preferred skills

  • Prior hands-on experience as a Journalist, Editor, Writer, Producer, Director, or Video Editor.
  • Comfort reviewing detailed written or production work product against professional standards.
  • Prior experience with AI model training, evaluation, or benchmark development is a plus.

Eligibility

Work arrangement: Fully remote

Eligible locations: Worldwide

More about the hiring companyRise Data Labs
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