AIML Data Operations - Annotations Production Team Manager

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.

Description

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

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

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 ab