Human Factors Research Engineer, AIML Data Operations
About The Position
The Human Factors Research Engineer will optimize the design of annotation workflows and analyst tools that support Apple’s strategic AI initiatives. The organization delivers high-quality, human-annotated machine-learning data at scale for product teams across Apple and partners in the development of consumer software and hardware experiences. Its global data annotation and collection work supports new experiences and products such as Apple Intelligence and Vision Pro. The researcher will optimize software products and annotation workflows for global operations, working directly with data analysts and annotation specialists to study human performance and design solutions for diverse languages, cultures, and abilities.
Requirements
- Master’s or Ph.D. in Computer Science, Human-Computer Interaction, or an equivalent degree.
- At least 3 years of experience in mixed-methods human factors research, especially evaluating user interface designs.
- Expertise in qualitative and quantitative experimental design, statistical data analysis, and reporting.
- Excellent listening, communication, and interview skills in individual and focus group settings.
- Proficiency with data exploration and 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.
- Proactive, curious, data-driven, and collaborative.
Nice To Haves
- Experience with human-in-the-loop evaluation, data annotation workflows, or AI/LLM model development.
- Published research in human-in-the-loop evaluation or data annotation workflows.
Responsibilities
- Optimize the design of annotation workflows and analyst tools supporting AI initiatives.
- Research human performance among data analysts and annotation specialists.
- Design solutions for diverse languages, cultures, and abilities.
- Evaluate user interface designs using mixed-methods human factors research.
- Analyze and report experimental data.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
