Job Description
Human Data Operations Lead -
East Coast Philadelphia, Pennsylvania, United States Hardware Summary Posted:
Jun 02, 2026 Role Number:
200666163-2770 Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's notelling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple's customers every single day. Description Apple's AI/ML Data Operations group is seeking a Human Data Operations Lead. The candidate will join a team of innovative scientists and engineers to develop a new generation of consumer machine learning features. The role's primary function is to support the planning, site management, and execution of large-scale human user studies and data collection efforts that train, validate, and evaluate our ML models. Responsibilities Assist in the design and execution of human data collection studies to provide reliable, high-quality data for ML model training and prototype evaluation. Partner with internal and external groups to develop study protocols, operational plans, budgets, and schedules for consumer ML user studies. Manage the day-to-day execution, facility operations, and logistics of human studies at designated data collection sites. Serve as a conduit between ML development, data engineering, and on-site execution teams to ensure data collection aligns perfectly with ML quality objectives and use cases. Collaborate with team members to communicate study progress, participant throughput, results, schedule, and budget to the broader project team. Monitor the real-time quality, privacy compliance, and completeness of datasets being returned from active user studies. Train external collaborators, vendors, and on-site staff on exact study procedures, hardware handling, and strict privacy protocols, while continuously monitoring their performance. Extended domestic travel to vendor and study sites is required. Minimum Qualifications Bachelor's degree in human-Computer Interaction (HCI), Cognitive Science, Psychology, Engineering, Operations, or a related discipline. Experience conducting, managing, or coordinating human user studies, data collection operations, or behavioral research in an industry or academic setting. Able to travel extensively within the US to oversee various collection sites. Preferred Qualifications 10+ years of industry experience in site management, user research operations, or project logistics. Experience conducting human studies specifically for consumer electronics, software features, or machine learning data collection (e.g., computer vision, audio, or gesture recognition). Familiarity with handling sensitive human data and navigating strict user privacy and consent protocols. Detail-oriented and highly organized with a proven track record of managing complex operational logistics. Excellent communication and interpersonal skills, with the ability to interact comfortably with both everyday study participants and highly technical engineering teams. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Apple accepts applications to this posting on an ongoing basis.
