Human Data Operations Lead – East Coast

Apple Inc

Quick summary

Work type
On-site
Location
Philadelphia, PA
Posted
1 day ago

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Salary context

How this pay compares to similar roles

Similar $178k
$129k most similar roles pay here $227k

This listing doesn't post a salary. Most similar roles pay $141,068–$214,500.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 324 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 230 roles with salary data.

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At a glance

TL;DR · Human Data Operations Lead – East Coast

As a Human Data Operations Lead at Apple’s AI/ML Data Operations group in Philadelphia, you will join a team of scientists and engineers dedicated to developing cutting-edge consumer machine learning features. Your primary responsibilities include designing and executing large-scale human user studies for ML model training and evaluation, managing day-to-day operations and logistics at data collection sites, and ensuring seamless collaboration between development teams and on-site execution staff. You will also train external collaborators and vendors on study procedures and privacy protocols while monitoring the quality and completeness of collected datasets in real-time. This role requires extensive travel within the US to oversee various collection sites and involves working closely with ML developers and data engineers to align data collection efforts with project objectives. Ideal candidates have a background in HCI, Cognitive Science, Psychology, or related fields, along with experience managing human user studies and handling sensitive data while adhering to strict privacy regulations.

What you'll do

  • Design and execute large-scale human user studies for ML model training and evaluation.
  • Develop detailed study protocols, budgets, and schedules in collaboration with internal and external groups.
  • Manage day-to-day operations of data collection sites, ensuring smooth logistics and facility management.
  • Ensure alignment between data collection processes and ML quality objectives through continuous monitoring.
  • Train and monitor performance of external collaborators and on-site staff to maintain strict privacy compliance.
  • Monitor real-time data quality and completeness from active user studies to ensure reliable datasets.

What we're looking for

  • Bachelor's degree in HCI, Cognitive Science, Psychology, Engineering, Operations, or related field.
  • Extensive experience conducting, managing, or coordinating human user studies and data collection operations.
  • Proven track record of managing complex operational logistics for large-scale projects.
  • Experience with handling sensitive human data and ensuring strict privacy compliance.
  • Strong communication skills to interact effectively with diverse teams and stakeholders.
  • Familiarity with consumer electronics or machine learning data collection in industry settings.

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