Lead Generative AI Analyst - English (US)
RemoteSanta Clara, California, United States
Job Summary
Lead the day-to-day operations of a multimodal AI annotator and reviewer team, providing people leadership through coaching, performance management, and workload planning. Drive project execution by balancing quality, delivery timelines, and operational priorities while serving as the primary point of contact for workflow questions and escalations. Own client-facing meetings to discuss risks, action plans, and delivery progress, and coordinate calibration sessions to ensure consistent decision-making. Monitor team performance, quality metrics, and project health to identify improvement opportunities, develop annotation guidelines, and partner with cross-functional stakeholders to resolve complex cases. Prepare regular reports on project status and operational metrics to keep initiatives on track.
Required Qualifications
- 5+ years of experience in AI data operations, data annotation, content quality, Trust & Safety, data labeling, or similar production environments
- 3+ years of experience leading teams and managing projects, with ownership of delivery, quality, and operational outcomes
- Demonstrated experience managing personnel, priorities, and multiple workstreams simultaneously
- Experience leading client meetings and communicating project status to internal and external stakeholders
- Strong stakeholder management and communication skills
- Excellent written and verbal English
- Exceptional organizational skills with the ability to prioritize in a fast-moving environment
- Experience creating documentation, operational processes, or quality guidelines
- Comfortable making decisions in ambiguous situations while maintaining consistency and accuracy
Desired Qualifications
- Experience leading AI, machine learning, or multimodal annotation programs
- Experience managing QA operations, calibration sessions, audits, and quality improvement initiatives
- Familiarity with annotation tools and AI data workflows
- Experience working with Product, Engineering, Research, or Vendor Management teams
- Knowledge of reporting, dashboards, workflow optimization, or process improvement
- Basic Python, SQL, or data analysis skills
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