AIML Data Operations - Annotations Production Team Manager

Apple Inc

Austin, TX

JOB DETAILS
SKILLS
Apple, Artificial Intelligence (AI), Benchmarking, Best Practices, Bridge Building, Budget Management, Capacity Management, Civil Engineering, Coaching, Communication Skills, Concurrency, Concurrent Programming Language Family, Continuous Improvement, Cost Control, Crowd Sourcing, Data Analysis, Data Management, Data Quality, Delivery Management, Forecasting, Leadership, Machine Learning, Mentoring, Onboarding, Operational Communications, Operational Strategy, Operations Management, Operations Planning, Performance Analysis, Performance Metrics, Presentation/Verbal Skills, Problem Solving Skills, Process Development, Process Engineering, Process Improvement, Production Planning, Project/Program Management, QA Partner Testing Software, Quality Assurance, Quality Assurance Methodology, Quality Management, Quality Metrics, Quality Monitoring, Reporting Skills, Resource Management, Root Cause Analysis, Service Level Agreement (SLA), Status Reports, Strategic Planning, Supplier Optimization, Supplier Relationship Management (SRM), Team Lead/Manager, Team Player, Time Management, Training Data Sets, Vendor/Supplier Evaluation, Vendor/Supplier Management, Vendor/Supplier Planning, Vendor/Supplier Quality Management, Vendor/Supplier Relations, Writing Skills
LOCATION
Austin, TX
POSTED
30+ days ago

Behind every groundbreaking AI innovation at Apple is a foundation of high-quality annotated data-and behind that foundation are the vendor partnerships and production operations that make it possible at scale.

We're looking for an Annotations Production Team Manager to lead a group of crowd managers who serve as the critical link between Apple's annotation needs and our external vendor workforce. You will set strategic direction for how your team engages with vendor partners, ensuring the delivery of high-quality annotated data on time and at scale. You will develop your team's capabilities in vendor management, production operations, and quality oversight while establishing the frameworks and processes that enable consistent, scalable execution. Imagine leading the team that keeps Apple's AI data engine running, ensuring our machine learning models are trained with the highest quality data produced by a global workforce operating at peak efficiency.

As a Manager in Annotations Production, you'll lead a team of crowd managers who collaborate with engineering teams and data requestors to deploy scalable data pipelines through our vendor workforce. Your team manages the full production lifecycle-from initial project requirements and vendor onboarding through delivery tracking, quality assurance, and continuous improvement. You will remain hands-on when complex vendor challenges or production escalations require your direct involvement.

You will coach your team in vendor relationship management, helping them balance quality expectations with throughput targets across multiple annotation domains. You will establish operational frameworks-ramp plans, quality monitoring systems, escalation paths, and performance benchmarks-that enable your team to run production consistently and at scale.

Your work will directly contribute to the success of the next generation of Apple products and features.

This role leads a globally distributed team, with direct reports spanning multiple time zones across regions including [AMR / EMIEA / APAC]. You should be flexible in your working hours to accommodate collaboration across these time zones, which may include early morning or evening meetings on a regular basis.

Responsibilities

  • Lead, mentor, and develop a team of crowd managers that are located in multiple different time zones, fostering growth in vendor management, production operations, and stakeholder communication
  • Set strategic direction for vendor-facing production operations, establishing scalable frameworks and best practices
  • Oversee vendor performance, ensuring SLAs are met for quality, throughput, and delivery timelines across concurrent programs
  • Drive capacity planning and resource management across vendor partners, including volume forecasting and workforce allocation
  • Ensure your team bridges engineering/customer teams and vendor operations, translating complex annotation requirements into actionable production plans
  • Partner with QA, training, spec/process engineering, and data analytics teams to maintain quality at scale
  • Establish and monitor key performance metrics for vendor operations, driving continuous improvement
  • Manage budget allocation, financial forecasting, and vendor cost optimization
  • Build and maintain strong relationships with vendor leadership, ensuring alignment on Apple's quality standards
  • Prepare executive reports communicating production status, vendor health, and risks to senior leadership
  • Foster a collaborative culture where your team tackles production problems proactively and gains the trust of customers, engineering partners, and vendor organizations

Minimum Qualifications

  • BS degree required
  • 10+ years of experience in program/project management, production operations, or vendor management in data operations or related fields
  • 3+ years of experience managing and developing teams in operational or vendor-facing roles
  • Strong understanding of production operations including capacity planning, quality assurance frameworks, and delivery management
  • Excellent written and verbal communication skills, with the ability to communicate complex concepts to both technical and non-technical audiences
  • Proven ability to manage multiple concurrent programs with competing priorities in a fast-paced environment
  • Self-motivated and proactive leader who thrives in ambiguous environments and is able to establish diligent processes for global teams
  • Demonstrated ability to navigate ambiguity and rapidly shifting priorities, crafting creative, pragmatic near-term vendor support solutions that keep programs on track while maintaining focus on longer-term vendor strategy and scalable operational goals
  • Experience in leading a dispersed global team

Preferred Qualifications

  • Advanced degree in a relevant field preferred
  • Annotation operations, data operations, or crowd-sourcing programs at scale
  • Vendor/supplier management including performance management and relationship development
  • Budget management and financial forecasting for vendor-delivered work
  • Data quality issue tracking and resolution (impact analysis, root cause analysis, data analysis)
  • Background managing geographically distributed teams or vendor workforces
  • Understanding of machine learning concepts, data annotation methodologies, and quality assurance processes

About the Company

A

Apple Inc

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And 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.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer/IT Services
FOUNDED
1976
WEBSITE
https://www.apple.com/jobs