ML Data QA Lead: Build AI Quality Tools at Scale

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 121,000 - 249,000; Full time

Benefits offered by this job

Stock programs

Medical & dental coverage

Education reimbursement

Job summary

Apple Inc. in Cupertino, CA is seeking a Data Ops QA lead to ensure high-quality ML datasets powering AI features across Apple devices. You will own data quality standards, design checks, and lead analysts, while building QA tooling using AI-assisted development.

The role spans the full data request life cycle, partnering with R&D teams and vendors to deliver reliable data and drive continuous improvement in quality processes.

Qualifications

• Bachelor's degree, or equivalent practical experience.
• 4+ years of experience in ML data operations, data quality, or a comparable data-centric quality function.
• Working proficiency in Python for data manipulation and reporting.
• Hands-on experience using AI coding assistants to build working QA tools or analysis.
• Strong written and verbal communication skills.

Responsibilities

• Owns the quality strategy and roadmap across the data request life cycle, defining the workflows and process controls that anticipate failure modes, expose edge cases, detect anomalies, and surface issues early rather than at delivery.
• Translates ambiguous quality expectations into explicit, documented standards and decision rules that vendors, reviewers, and partner teams can apply consistently.
• Runs quality assurance and quality control checks across pilot and production phases, and validates trends before datasets reach R&D.
• Designs and builds new QA tools, and extends the review interfaces, data pipelines, and reporting the team already relies on, using AI-assisted development.
• Introduces model-assisted checks into review workflows, iterating on prompts and measuring agreement against iterating on prompts and measuring agreement against human labels before those checks are relied on.
• Verifies analyses, metrics, and generated artifacts independently before they are published.
• Leads internal and external quality analysts, and presents quality findings, statistics, and recommendations to project teams, partner organizations, and vendors.
• Partners with Collection, Annotation, and R&D teams to pin down project specifications, reduce subjectivity, and ensure guidelines are unambiguous to everyone who applies them.

Skills

Communication

AI tooling

Python

Education

Bachelor's degree

Tools

Python

AI coding assistants

Job description

Apple Inc. in Cupertino, CA is seeking a Data Ops QA lead to ensure high-quality ML datasets powering AI features across Apple devices. You will own data quality standards, design checks, and lead analysts, while building QA tooling using AI-assisted development.

The role spans the full data request life cycle, partnering with R&D teams and vendors to deliver reliable data and drive continuous improvement in quality processes.