Human Data Operations Lead - West Coast

Apple • Los Angeles, CA • 1h ago

Role Number: 200670675-2605

Summary

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.

Minimum Qualifications

Bachelor's degree in HCI, Cognitive Science, Psychology, Engineering, Operations, or equivalent combination of education and relevant experience.

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.

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