Lead Generative AI Analyst - English (US)

We're looking for an experienced Lead Generative AI Analyst to join our team. This leadership role is open to hybrid and remote candidates, with a preference for those who can work in a hybrid capacity from our Santa Clara, CA office.

We're looking for someone who enjoys leading AI operations, coordinating people, solving complex operational challenges, and building scalable processes in a fast-paced Generative AI environment.

Rather than focusing on individual annotation work, you'll lead the end-to-end execution of AI data initiatives, partnering with annotators, quality teams, AI researchers, engineers, and cross-functional stakeholders to deliver high-quality results efficiently and consistently.

#LI-CC1

What You'll Do

• Lead the day-to-day operations of teams of multimodal AI annotators and reviewers.
• Provide people leadership, including coaching, performance management, workload planning, and team development.
• Own project execution across multiple workstreams, balancing quality, timelines, and operational priorities.
• Own client-facing meetings, providing project updates, discussing risks, action plans, and delivery progress.
• Translate business and technical requirements into clear, scalable operational workflows.
• Build and improve processes, including zero-to-one workflows where requirements are not yet fully defined.
• Identify and resolve operational bottlenecks, risks, and escalations to keep projects on track.
• Partner with AI Research, Engineering, Product, Quality, and Operations teams to improve workflows and resolve complex issues.
• Monitor quality, productivity, throughput, and project health, using data to drive continuous improvement.
• Develop and refine annotation guidelines, documentation, and quality standards.
• Coordinate calibration sessions and quality reviews to ensure consistent decision-making.
• Support onboarding, coaching, and development of team members.
• 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.
• Experience managing multiple priorities and workstreams in a fast-paced, high-ambiguity environment.
• Experience building or improving operational processes and workflows.
• Experience leading client meetings and communicating with internal and external stakeholders.
• Strong stakeholder management, communication, and problem-solving skills.
• Good understanding of AI data workflows and modern machine learning concepts, including data curation, human-in-the-loop workflows, RLHF, or fine-tuning.
• Excellent written and verbal English.
• Exceptional organizational skills and the ability to adapt quickly to changing priorities.
• Experience creating documentation, operational processes, or quality guidelines.
• Comfortable making decisions in ambiguous situations while maintaining consistency and accuracy.

Preferred Qualifications

• Experience leading Generative AI, machine learning, LLM, or multimodal annotation programs.
• Experience working with AI researchers, engineers, Product, or technical teams.
• Experience with QA operations, calibration, audits, or quality improvement initiatives.
• Familiarity with annotation tools and AI data workflows.
• Experience with workflow optimization, dashboards, or process improvement.
• Basic Python, SQL, or data analysis skills are a plus.