Human Data Operations Lead – East Coast

Apple • New York City, NY

1d • Onsite

About The Position

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.

Requirements

• 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.
• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior