You will:- Collaborate cross-functionally by partnering with analysts data science engineering and other teams across Maps and Apple to harness collective expertise and deliver exceptional user experiences.- Oversee the teams efforts to design guidance to collect grade analyze and interpret large sets of data.- Lead the design and implementation of quality assurance protocols tailored to training data and model evaluation.- Develop and implement comprehensive human evaluation strategies and tools.- Define what high-quality data means across diverse projects and ensure these standards are met.- Drive the development of manual and automated processes for multiple concurrent projects ensuring high-quality labeled data.- Drive the execution and delivery of technical projects.- Design and conduct experiments for evaluating rater quality inter-rater reliability.- Dive deep into both qualitative and quantitative data in order to bring forward actionable insights.
5 years of leadership and experience managing a team in a cross-functional environment
Extraordinary leadership communication and organizational skills
Meticulous strong analytical and problem-solving skills
4 years experience with Search Relevance and Search Quality
Knowledge of data quality concepts challenges and best practices
8 years of leadership and people management experience
Experience with AI/ML/LLM
Experience using crowd sourced platforms like Figure-Eight and Mechanical Turk
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