Superintelligence Lab - Research Internship

Superintelligence Lab – Summer Research Intern

Role: Human-AI Interaction (HAI) Research Intern (PhD)

Research Intern responsible for conducting human involved AI research mainly focusing on designing/building ecosystems, which enable domain experts to reinforce their expertise and externalize tacit knowledge through interactions with AI systems or other experts.

AI는 일반 사람의 수준을 넘어 전문가 영역으로 진화하고 있습니다. 본 포지션은 2026년 여름 12주 동안 전문가를 위한 초지능 AI 에이전트 설계 및 대규모 사용자 대상 전문가 LLM을 위한 전문가-AI 인터랙션 디자인을 연구합니다.

Required qualifications

• Currently enrolled in a PhD program in HCI, Computer Science, Information Science, Cognitive Science, Psychology, Design, or a related field
• Eligible to work in South Korea for the full internship period (no visa sponsorship)
• Strong foundation in HCI research methods and research communication

Responsibilities

• Lead targeted literature review on research topic(s) of interest: AI literacy for professionals (e.g., mental models, trust calibration, decision support), incentive design for expert contributions (e.g., sustainability, worker motivation), or interaction design for AI-assisted expert tools (e.g., interfaces, feedback channels).
• Plan and conduct human involved studies (e.g., interviews, contextual inquiry, diary studies, lab or field experiments)
• Primarily engage in one of the following, while not being limited to a single focus: (1) Design and prototype interaction concepts using functional tools depending on your strengths (e.g., Figma, native or web apps), and (2) Develop incentive workflow/data curation strategies that transform expert work into structured data suitable for modeling and evaluation
• Collaborate closely with mentors and cross-functional teammates; share progress and present findings at the end of the internship

Preferred Qualifications

• Experience studying or building tools for human–AI interaction / collaborative AI
• Ability for prototype development and statistical data analysis
• Publication record in venues such as CHI, UIST, CSCW, IMWUT or relevant Human-AI tracks elsewhere