Lead Gen AI Analyst

Welocalize; Santa Clara (CA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Welocalize in Santa Clara, CA is seeking a Lead Generative AI Analyst to guide the day-to-day data operations of a multimodal annotation team. This leadership role blends people management with hands-on coordination to deliver high-quality AI data at scale.

You will drive project execution, own client-facing meetings, and collaborate with Quality, Operations, Product, and Engineering to optimize workflows. Hybrid/remote work options are available.

Qualifications

• 5+ years of experience in AI data operations or related production environments.
• 3+ years of experience leading teams and managing projects.
• Strong stakeholder management and communication skills.
• Excellent written and verbal English.
• Ability to prioritize in a fast-moving environment.

Responsibilities

• Lead day-to-day operations of a multimodal AI annotation team.
• Provide people leadership including coaching and workload planning.
• Balance quality, delivery timelines and priorities in projects.
• Own client-facing meetings and provide project updates.
• Monitor performance, quality metrics, and project health.
• Develop annotation guidelines and quality standards.
• Coordinate calibration sessions and quality reviews.
• Collaborate with Quality, Operations, Product and Engineering to improve workflows.
• Support onboarding and development of new team members.
• Prepare regular reports on status and metrics.

Skills

People leadership

Project management

Stakeholder management

Communication skills

English proficiency

Job description

We're looking for an experienced Lead Generative AI Analyst to join our team. This leadership role is open to both 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 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.