Senior Manager of Quality Assurance, AIML Data Operations

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$214,000–$356,600 / yr
Posted
104 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k
This role $285k
$127k most similar roles pay here $381k

This role pays more than 94% of similar roles. Most pay $167,006–$233,737 — the shaded band above. At the midpoint, this role pays about $285k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

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 1777 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1443 roles with salary data.

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At a glance

TL;DR · Senior Manager of Quality Assurance, AIML Data Operations

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As a Senior Manager of Quality Assurance in Apple's AIML Data Operations team, you will lead the QA function for data annotation, ensuring high-quality standards that impact millions of users daily. Your responsibilities include defining and defending quality metrics, developing scalable QA protocols, and integrating automated checks into annotation pipelines to maintain accuracy while increasing throughput. You will manage a team of QA professionals, set clear goals, provide feedback, and support career development, fostering an inclusive culture focused on continuous improvement. Additionally, you will collaborate with Data Science, Engineering, and Operations teams to embed QA practices across global workflows, aligning strategy with organizational priorities and driving change management initiatives. This role requires expertise in quality assurance, data operations, and a deep understanding of AIML concepts, along with experience in managing QA programs at scale for multilingual or multimodal datasets.

Skills

Quality Assurance Data Annotation Inter-annotator Agreement Cohen's Kappa Krippendorff's Alpha Label Studio Scale AI Surge Toloka Automated Quality Checks CI/CD Python R SQL PostgreSQL Excel Tableau JIRA Confluence Google Workspace Microsoft Office Suite Zoom Slack GitHub GitLab MLOps Data Science Machine Learning Engineering Vendor Management Change Management Capacity Planning Statistical Sampling Quality Auditing AIML Concepts

What you'll do

  • Define and continuously improve QA standards, frameworks, and metrics for data annotation tasks across various data types.
  • Develop and implement scalable QA protocols including sampling strategies and inter-annotator agreement measures to ensure high-quality labeled data.
  • Lead root cause analysis and drive systematic process improvements to prevent quality failures in annotation pipelines.
  • Advocate for and oversee the integration of automated quality checks into annotation workflows to enhance throughput without sacrificing accuracy.
  • Establish and track QA KPIs, providing regular data-driven reporting on quality performance and trends to senior leadership.

What we're looking for

  • 8+ years of experience in quality assurance or data operations
  • 10+ years of people management experience leading QA teams
  • Proven ability to define and operate large-scale QA programs for data annotation
  • Strong understanding of AIML concepts and their impact on model performance
  • Excellent analytical skills with a focus on using data for quality improvement
  • Professional fluency in English with superior communication abilities
  • Experience managing QA for multilingual or multimodal datasets preferred

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