Apple
ML Data QA Lead, MLO
$121K–$249K
Cupertino, California · Full-time · Posted Aug 18, 2026
- Experience
- 4+ years in ML data operations, data quality, or a comparable data-centric quality function.
- Education
- Bachelor's degree, or equivalent practical experience.
About the job
Leads data quality strategy and QA for machine-learning datasets, managing analysts and building tools to ensure data is reliable before it reaches R&D teams.
What you'll do
- Own dataset quality strategy, standards, workflows, and checks across the data request life cycle.
- Build and extend QA tools, review interfaces, pipelines, and reporting, including AI-assisted and model-assisted checks.
- Lead quality analysts and communicate findings and recommendations to project teams, partners, and vendors.
What they ask for
- 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.
Nice to have
- Experience designing annotation guidelines and resolving ambiguous cases with vendors.
- Experience with analyst leadership, human evaluation programs, statistical quality methods, or LLM/VLM-assisted checks.
Pay
$120,900 and $249,000 USD base salary
Tools
Python, HTML, CSS, JavaScript, LLMs, VLMs
AI focus
Uses AI coding assistants to build QA tools and analysis, and introduces model-assisted quality checks using prompts and agreement measurement against human labels.
Model-written summary · the original posting is authoritative