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Designer

Epoch AI

Job Overview

Location

Remote

Job Type

Full-time

Full Job Description

📋 Description

• The Designer role at Epoch AI supports the communication of complex research through intuitive, engaging, and high-impact UI/UX and data visualization designs.
• Day to day, the person will collaborate with the Product Designer to create user-centered websites, dashboards, and data visualizations that enhance engagement with the research community and stakeholders.
• Epoch AI is a research-focused organization dedicated to advancing understanding of artificial intelligence through rigorous analysis and public outreach.
• The person can learn to translate technical research into accessible visual narratives, deepen expertise in data visualization and UI/UX, and contribute to impactful science communication in a remote, flexible environment.

🎯 Requirements

• Experience in UI/UX design and data visualization
• Ability to create user-centered websites and dashboards
• Strong portfolio demonstrating research or technical design work
• Proficiency in design tools such as Figma, Sketch, or Adobe Creative Suite
• Excellent communication and collaboration skills
• Availability to work in North or South American timezones

🏖️ Benefits

• Fully remote work arrangement
• Flexible contracts available in many countries
• Opportunity to work on high-impact research communication projects
• Collaboration with a dedicated Product Designer and research team
• No requirement for cover letter, photograph, or irrelevant personal information in application
• Rolling applications allowing flexible timing

Skills & Technologies

Design

Remote

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Epoch AI

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About Epoch AI

Epoch AI is an independent research organization that produces data-driven analyses on the trajectory of artificial intelligence. It maintains large-scale datasets such as the Parameter, Compute & Data (PCD) database and publishes peer-reviewed reports on AI capabilities, compute trends, and policy implications. The institute collaborates with academic labs, policy makers, and industry actors to clarify the likely impacts of emerging AI systems, focusing on measurable metrics like training compute, algorithmic efficiency, and economic deployment rates.

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