AIML Data Operations - Annotations Production Team Manager at Apple

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Aug, 26

Salary

0.0

Posted On

08 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Vendor Management, Production Operations, Capacity Planning, Quality Assurance, Program Management, Project Management, Data Annotation, Team Leadership, Delivery Management, Performance Benchmarking, Budget Management, Financial Forecasting, Root Cause Analysis, Global Team Management, Machine Learning Concepts, Operational Frameworks

Industry

Computers and Electronics Manufacturing

Description

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. 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

Responsibilities

Lead a team of crowd managers to deploy scalable data pipelines and manage the full production lifecycle of annotated data via external vendors. Establish operational frameworks and quality monitoring systems to ensure high-quality data delivery for machine learning models.