ironquill.tech/board

$ cat jobs/interaction-designer-hci-bjakcareer-c11554e3df47.json

Interaction Designer, HCI

Bjakcareer·Worldwide·Seoul, Korea·mid
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ABOUT A1 There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows, with minimal prompting. Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. Our objective is to help users complete tasks daily enjoyable with over ~90%* reduced time. ROLE You will design the detailed mechanics of how users interact with A1 - the gestures, states, flows, and micro-decisions that determine whether an AI-driven product feels controlled or confusing. This role is focused on HCI interaction design: how users give input, receive feedback, supervise AI actions, correct mistakes, and maintain agency over AI-driven workflows. There are no established playbooks for interaction design in proactive AI products. You will help define new patterns from the ground up. WHAT YOU'LL BE DOING - Design detailed interaction models for AI-driven flows, including how users initiate, monitor, pause, correct, and complete multi-step tasks. - Define interaction states for AI interfaces: idle, thinking, acting, waiting, uncertain, interrupted, failed, and recovered. - Design human-in-the-loop controls - how users review AI decisions, override actions, and stay informed without micromanaging. - Create interaction patterns for delegation, approval, correction, escalation, reversibility, and recovery. - Create detailed interaction specifications, annotated flows, and prototypes for engineering handoff. - Work with product and ML teams to translate system capabilities and constraints into usable interaction patterns. - Test interaction designs with real users to identify where AI behavior creates confusion,