What are the responsibilities and job description for the Human Factors Research Engineer, AIML Data Operations position at UXR Hunt?
We are looking for a talented, creative and technical user experience researcher to optimize the design of annotation workflows and analyst tools that contribute to Apple's most strategic AI initiatives.
Our organization is responsible for delivering high-quality, human-annotated, machine learning data at scale for product teams across Apple. We are both an operations team and a trusted partner in the development of Apple's consumer software and hardware experiences. This global data annotation and collection initiative enables Apple to create amazing new experiences and advance flagship experiences like Apple Intelligence and Vision Pro.
MS or PhD in Computer Science, Human-Computer Interaction or equivalent degree
3 years of experience in mixed-methods human factors research, especially in evaluating user interface designs
Expert in qualitative and quantitative experimental design, statistical data analysis, and reporting
Excellent listening, communication and interview skills in both individual and focus group settings
Experience with human-in-the-loop evaluation, data annotation workflows, or AI/LLM model development
Proactive, curious, data-driven, and collaborative
Proficient in data exploration and data analysis languages or tools such as SQL, Python, or R Studio
Industry experience working with UX designers and software engineers to develop highly-usable and performant interfaces
Published research in human-in-the-loop evaluation or data annotation workflows
Our organization is responsible for delivering high-quality, human-annotated, machine learning data at scale for product teams across Apple. We are both an operations team and a trusted partner in the development of Apple's consumer software and hardware experiences. This global data annotation and collection initiative enables Apple to create amazing new experiences and advance flagship experiences like Apple Intelligence and Vision Pro.
MS or PhD in Computer Science, Human-Computer Interaction or equivalent degree
3 years of experience in mixed-methods human factors research, especially in evaluating user interface designs
Expert in qualitative and quantitative experimental design, statistical data analysis, and reporting
Excellent listening, communication and interview skills in both individual and focus group settings
Experience with human-in-the-loop evaluation, data annotation workflows, or AI/LLM model development
Proactive, curious, data-driven, and collaborative
Proficient in data exploration and data analysis languages or tools such as SQL, Python, or R Studio
Industry experience working with UX designers and software engineers to develop highly-usable and performant interfaces
Published research in human-in-the-loop evaluation or data annotation workflows