Applied AI Specialist

Warner Bros. Discovery

Remote

Quick summary

Work type
Remote
Location
Remote
Posted
7 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $205k
$155k most similar roles pay here $256k

This listing doesn't post a salary. Most similar roles pay $164,707–$246,150.

Based on 240 similar postings.

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About Warner Bros. Discovery

Warner Bros. Discovery is a global media and entertainment company operating a broad portfolio of iconic content and brands including Warner Bros. film studio, HBO, CNN, Discovery Channel, and Max streaming service. Industry: Media & Entertainment

Warner Bros. Discovery currently has 66 open roles on FindRole.

Listed pay typically runs $131,950–$245,050 across 46 roles with salary data.

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At a glance

TL;DR · Applied AI Specialist

As an Applied AI Specialist at CNN’s AI Enablement & Machine Learning team, you will join the AI Systems & Enablement group to build and refine AI-powered applications for both audience engagement and internal operations. Your day-to-day involves designing prompts for features like article summaries and content classification, evaluating AI outputs against editorial standards, and structuring human feedback loops to improve model accuracy. You’ll work closely with software engineers and editorial teams to ensure that AI features meet CNN’s high-quality expectations. The role requires expertise in prompt engineering, evaluation frameworks, and cross-functional collaboration, leveraging technologies such as large language models (LLMs) and Python scripting for data analysis. Ideal candidates have 2-4 years of experience in content operations or related fields, with a strong understanding of AI capabilities and limitations, and excellent communication skills to bridge technical and editorial teams.

What you'll do

  • Design and maintain prompts for AI features like article summaries and content classification.
  • Develop evaluation criteria and datasets to measure AI output quality against CNN standards.
  • Create structured human feedback workflows for continuous improvement of AI models.
  • Partner with engineers to translate AI capabilities into practical editorial guidelines.
  • Document prompting patterns, evaluation approaches, and quality standards for the team.

What we're looking for

  • 2-4 years experience in content operations, editorial processes, or classification systems
  • Expertise in prompt engineering for large language models (LLMs)
  • Experience designing evaluation criteria and quality assessment workflows for AI outputs
  • Strong understanding of LLM capabilities, limitations, stochastic behavior, and cost implications
  • Excellent communication skills to explain technical concepts to non-technical audiences
  • Detail-oriented with analytical skills and comfort working with evaluation data and metrics
  • Collaborative mindset with experience working closely with software engineers and editorial stakeholders

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