Creative Evaluation Lead, Artwork

Netflix Netflix · Big Tech · Los Gatos, CA +2 · Product Discovery & Promotion

Netflix is seeking a Creative Evaluation Lead, Artwork to bridge creative, product, and technical teams to transform promotional artwork workflows using AI. This role involves contributing to AI R&D, evaluating AI model outputs, executing AI solutions for content launches, building learning loops, translating creative needs into AI opportunities, leading training, and staying updated on AI advancements in imagery. The ideal candidate has extensive creative making experience, familiarity with AI image tools, and experience with QC processes for artwork assets.

What you'd actually do

  1. Contribute to AI R&D and experimentation - Support R&D sprints on new AI models and evaluation methods by designing creative rubrics and defining standardized asset-level pass/fail criteria, using gold-standard creative references to enable scale annotation and QC.
  2. Evaluate and improve AI model outputs - Oversee annotators in QCing model outputs, driving alignment on creative standards, and synthesizing findings into clear creative decisions for model improvements.
  3. Leverage AI solutions on content launches - Execute AI solutions within active fulfillment workflows to create promotional assets for content launches, ensuring reliability, quality, and scalability.
  4. Build and maintain a creative learning loop - Establish feedback loops by identifying patterns in human intervention during live asset fulfillment to inform model improvement opportunities.
  5. Translate creative needs into AI opportunities - Partner with creative fulfillment teams to turn real creative production pain points into potential AI opportunities, collaborating with Product Managers to shape them into product concepts and requirements.

Skills

Required

  • 7+ years of hands-on professional creative making experience with a focus on artwork, ideally in product, marketing, entertainment, gaming, or related fields.
  • Strong portfolio of video creative demonstrating craft (composition, color, typography, etc) and ability to work with brand or creative constraints.
  • Familiarity with AI image and/or video tools (e.g., Runway, Midjourney, DALL·E, Stable Diffusion, Firefly, Leonardo) and how they’re used in creative workflows.
  • Experience creating or contributing to artwork style guides and templates (key art, social, title treatments, etc).
  • Experience with QC processes for artwork assets (creative quality, brand consistency, technical checks)

Nice to have

  • Understands how strong artwork assets are made and can also translate quantitative findings into clear creative diagnoses.
  • Able to articulate why a creative asset works or doesn’t, and explain it clearly in a way that resonates with both creative and technical stakeholders.
  • Comfortable working closely with Product Management, Operations, Creative, and Data Science and Engineering teams.
  • Interest in improving models and workflows, not just individual artwork assets. A passion for scaling creative production.
  • Willingness to roll up your sleeves and do what’s needed to move work forward.
  • Comfortable working in fast-paced, iterative, data-driven environments with evolving tools and incomplete information.
  • Sharp eye for inconsistencies, errors, and off-brand elements.

What the JD emphasized

  • critical to making AI production‑ready at Netflix
  • real creative production pain points
  • model evaluation
  • learning loops
  • AI-first creative production
  • evaluation methods
  • asset-level pass/fail criteria
  • QCing model outputs
  • creative standards
  • model improvements
  • active fulfillment workflows
  • human intervention
  • model improvement opportunities
  • creative production pain points
  • product concepts and requirements
  • annotator and end user training
  • AI model capabilities
  • AI for imagery

Other signals

  • AI R&D and experimentation
  • Evaluate and improve AI model outputs
  • Leverage AI solutions on content launches
  • Build and maintain a creative learning loop
  • Translate creative needs into AI opportunities
  • Lead training and maintain living documentation
  • Stay ahead of the AI landscape