UX Researcher - Human-AI Interaction Specialist

UX Researcher - Human-AI Interaction Specialist

Research optimal balance points between AI efficiency and human control across industries

Salary Range

Design

Full-time

Role Overview

Conduct research to understand how humans and AI can work together most effectively. You will study user behavior in human-AI collaborative environments, identify optimal balance points between automation and human control, and ensure AI systems enhance rather than diminish human capabilities.

Core HITL Skills

• Human-AI Collaboration Research – Study effective patterns of human-machine partnership
• User Empathy Analysis – Understand emotional impact of AI on human workflows and relationships
• Control Balance Optimization – Find optimal points between AI automation and human agency
• Cross-Industry Behavior Study – Research how different industries interact with AI systems
• Ethical Research Methodology – Conduct studies that respect human dignity and autonomy

Technical Skills

• Qualitative and quantitative user research methodologies
• Statistical analysis and data visualization (R, Python, Tableau)
• User testing platforms and remote research tools
• Survey design and interview techniques for complex technology topics
• Behavioral analytics and user journey mapping tools
• Human-AI Trust Research – Study how users develop confidence in AI systems over time
• Control Preference Analysis – Research user preferences for AI automation vs manual control
• Emotional Impact Assessment – Measure how AI interactions affect human emotional well-being
• Cultural Interaction Studies – Research how different cultures prefer to interact with AI
• Expertise Preservation Research – Study how to maintain human skill development alongside AI use

Key Responsibilities

• Conduct user research on optimal human-AI collaboration patterns across 19 industries
• Study emotional and psychological impact of AI integration on human workers and customers
• Research cultural differences in human-AI interaction preferences across global markets
• Analyze user behavior to identify when humans prefer manual control vs AI automation
• Study long-term effects of AI adoption on human skill development and job satisfaction
• Research trust-building mechanisms between humans and AI systems
• Conduct accessibility research ensuring AI systems work for users with diverse abilities
• Study ethical implications of AI integration on human autonomy and decision-making
• Research optimal training methods for humans working alongside AI systems
• Analyze customer satisfaction patterns in human-AI collaborative service environments

A Day in Your Life

1. 9:00 AM - Analyze user interview data on human trust patterns with AI booking systems
2. 10:00 AM - Design research study measuring emotional impact of AI customer service integration
3. 11:30 AM - Conduct user testing session on human-AI collaborative workflow design
4. 1:00 PM - Research cultural preferences for AI interaction styles across European markets
5. 2:30 PM - Analyze behavioral data on when users choose manual override vs AI automation
6. 4:00 PM - Interview domain experts on preserving human expertise alongside AI implementation
7. 5:00 PM - Create research insights report on optimal human-AI balance points for healthcare industry

Interview Process

1. 1 Research Portfolio Review: Present studies on human-technology interaction and user empathy research
2. 2 Methodology Assessment: Design research study measuring human emotional response to AI integration
3. 3 Data Analysis Challenge: Analyze user behavior data to identify human-AI collaboration patterns
4. 4 Ethical Research Evaluation: Navigate research scenarios involving sensitive human-AI relationship topics
5. 5 Cross-Cultural Research Simulation: Design study methodology for diverse cultural AI interaction preferences

Specialization tracks: Human-Computer Interaction, Cognitive Psychology, Cultural Anthropology, Behavioral Economics

Cross-functional exposure: Product (research-informed features), Design (user-centered design), Engineering (human factors)

What Makes This Role Unique

Research focused on preserving human agency and empowerment in AI-integrated environments

Cross-industry research experience understanding diverse human-AI collaboration needs

Direct impact on product development ensuring user research drives human-centered AI design

Collaboration with ethics team ensuring research respects human dignity and autonomy

Focus on long-term human flourishing alongside AI advancement rather than efficiency alone

Ready to Shape Human-AI Collaboration?

Join us in building AI that amplifies human potential while preserving human autonomy and dignity.