Uber

Compensation

Full Description

About the Role As a Senior Program Manager - Data Labeling, you will lead cross-functional initiatives to build, scale, and optimize data annotation programs critical to AI model performance. You'll own program delivery across internal teams, vendor partners, and ML stakeholders to ensure high-quality labeled datasets are delivered on time and at scale. This role is both strategic and execution-driven: you'll define roadmaps, manage SLAs, create scalable processes, and resolve bottlenecks to ensure the labeling engine is efficient, quality-controlled, and model-aligned. What the Candidate Will Do: • Define and drive end-to-end execution of large-scale annotation programs across multiple data types. • Collaborate with ML, product, and data operations teams to scope and prioritize labeling needs. • Own vendor engagement: onboarding, SLA management, training, and quality reviews. • Build feedback loops between annotators and model performance to inform labeling strategies. • Create dashboards and reporting mechanisms to track labeling velocity, quality, and cost. • Lead initiatives to improve labeling efficiency through tooling enhancements and process automation. • Be the voice of labeling in cross-functional forums-translating model needs into operational plans. Basic Qualifications: • 6+ years of program management experience, ideally in ML ops, data labeling, or AI infrastructure. • Proven track record managing multi-vendor operations or global labeling teams. • Strong understanding of ML lifecycle stages and the importance of annotated data quality. • Experience defining SOPs, audit mechanisms, and workflows for scalable data labeling. • Proficient in tools such as Jira, Asana, or Airtable for program tracking. In addition having deep understanding on ML Operations labelling tools is added advantage • Strong analytical and communication skills; ability to synthesise feedback from ML, ops, and product stakeholders. Preferred Qualifications: • Exposure to LLMs, foundation models, or active learning-based data curation. • Familiarity with annotation for multimodal inputs (e.g., Audio, Video, Image, Text, Documents, OCR based forms etc) • Experience managing budgets, metrics, and KPIs across distributed teams. • Knowledge of quality scoring frameworks, inter-annotator agreement (IAA), or QA loop design. Technical background (e.g., in ML, data science, or engineering) is a plus. • For New York, NY-based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.