Human Factors Research Engineer, Aiml Data Operations

Apple Apple · Big Tech · Seattle, WA · Software and Services

This role focuses on human factors research to optimize annotation workflows and analyst tools for machine learning data operations at Apple. The goal is to improve the quality and efficiency of human-annotated data used in AI initiatives, supporting products like Apple Intelligence and Vision Pro.

What you'd actually do

  1. optimize software products and annotation workflows for our global operations
  2. work directly with data analysts and annotation specialists to research human performance and design solutions for diverse languages, cultures, and abilities

Skills

Required

  • 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

Nice to have

  • 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

What the JD emphasized

  • human-annotated, machine learning data at scale
  • optimizing software products and annotation workflows
  • research human performance and design solutions

Other signals

  • human-annotated, machine learning data at scale
  • optimizing software products and annotation workflows
  • research human performance and design solutions