We're looking for an experienced Lead Generative AI Analyst to join our team in Santa Clara, CA. This is a hybrid leadership role for someone who enjoys coordinating people, solving operational challenges, and delivering high-quality results in a fast-paced AI environment.
Rather than focusing on individual annotation work, you'll lead the day-to-day execution of AI data operations, partnering with annotators, quality teams, and cross-functional stakeholders to ensure projects are delivered efficiently, consistently, and at the highest quality standards.
If you have a strong background in project management, operations, or leading production teams—and you're excited about working on cutting-edge Generative AI initiatives—this role is for you.
What You'll Do
- Lead the day-to-day operations of a team of multimodal AI annotators and reviewers.
- Provide people leadership, including coaching, performance management, workload planning, and team development.
- Drive project execution by balancing quality, delivery timelines, and operational priorities.
- Own client-facing meetings, providing project updates, discussing risks, action plans, and delivery progress.
- Serve as the primary point of contact for workflow questions, issue resolution, and project escalations.
- Monitor team performance, quality metrics, productivity, and project health, identifying opportunities for continuous improvement.
- Develop and refine annotation guidelines, documentation, and quality standards as projects evolve.
- Coordinate calibration sessions and quality reviews to ensure consistent decision-making across the team.
- Partner with cross-functional stakeholders, including Quality, Operations, Product, and Engineering teams, to resolve complex cases and improve workflows.
- Support onboarding, coaching, and ongoing development of new team members.
- Identify operational risks early and proactively drive solutions to keep projects on track.
- Prepare regular reports on project status, quality trends, and key operational metrics.
What We're Looking For
- 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.
Preferred 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 are a plus.