UX Researcher – AI Experiences
New
B
BlueprintTechnology Solutions
Location: RemoteFull-TimeMiddle
Salary35 - 38 USD per hour
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Job Details
- Experience
- 1–2 years
- Required Skills
- Data Analysis
Requirements
- Bachelor's, Master's, or PhD in Human-Computer Interaction (HCI), Psychology, Computer Science, Human Factors, Cognitive Science, or a related field (advanced degree preferred).
- 1–2 years of experience conducting UX research or usability research.
- Experience with both qualitative and quantitative research methods.
- Experience planning, organizing, and managing research projects from initiation through reporting.
- Strong analytical skills with the ability to synthesize research into clear, actionable recommendations.
- Excellent verbal and written communication skills with experience presenting findings to stakeholders.
- Ability to work independently while collaborating effectively with cross-functional teams.
- Strong organizational and time management skills in a fast-paced environment.
- Experience using AI tools to support research workflows with the ability to critically evaluate AI-generated outputs.
Responsibilities
- Plan, design, and execute end-to-end user research studies using qualitative and quantitative research methodologies.
- Identify research questions and determine the most effective research methods to answer them.
- Conduct usability studies, interviews, surveys, benchmark studies, and unmoderated research.
- Analyze and synthesize research findings into actionable insights and recommendations.
- Present research results clearly to cross-functional stakeholders, helping drive product improvements.
- Collaborate with product managers, designers, engineers, researchers, and other stakeholders throughout the product development lifecycle.
- Evaluate user experiences and identify opportunities to improve usability, accessibility, and customer satisfaction.
- Perform competitive research to understand industry trends, user expectations, and product positioning.
- Leverage AI tools to improve research productivity while validating outputs and ensuring research quality.
- Manage multiple research projects simultaneously while meeting aggressive timelines.
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