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Visual Designer (Deck/Presentation focused)

micro1Europa, Am. Płn.Europa, Am. Płn.

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaKontrakt
Doświadczenie
DoświadczenieMid / Regular
Dodano
Dodano14 sierpnia 2026
Wykryte przez nas
Wykryte przez nas16 sierpnia 2026
Zarobki
Zarobki20 - 60 USD

micro1 is seeking a skilled Visual Designer with a focus on presentation and deck design to contribute to a pioneering project. In this role, you will apply your professional expertise to help train next-generation AI systems, shaping how models learn and perform through high-quality, real-world input.

Key responsibilities

  • Design and author expert-level presentation tasks using reference decks, brand assets, and structured content inputs.
  • Create gold-standard example decks that exemplify refined craft in typography, grid, hierarchy, and visual system fidelity.
  • Define clear, actionable, and concrete criteria for what constitutes on-brand and polished presentation design.
  • Develop comprehensive visual rubrics evaluating model outputs on visual craft, style consistency, and template adherence.
  • Identify and flag visual failure modes specific to AI design, such as misaligned grids or inconsistent hierarchy.

Requirements

  • 3–5 years of proven experience in agency, in-house corporate communications, or as an independent deck designer.
  • Advanced skills in typography, layout, color usage, iconography, and grid systems.
  • Fluency in building, extending, and applying visual template systems across multiple slide types.
  • Expert-level proficiency in PowerPoint and/or Keynote, with strong familiarity with Figma or Adobe Creative Suite.
  • Portfolio showcasing high-craft presentation design, such as board decks, pitch decks, or brand system projects.

What we offer

  • The opportunity to work on cutting-edge AI training projects that shape future technology.
  • A fully remote work environment allowing for flexibility in your professional schedule.
  • Engagement in a collaborative project where your domain expertise directly influences model performance.

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