Lead Gen AI Analyst

Welo Data; Santa Clara (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Welo Data is seeking an experienced Lead Generative AI Analyst to guide a team of multimodal annotators and reviewers. The role blends people leadership with hands-on project delivery in a fast-paced AI environment.

You will own client-facing meetings, drive quality, and optimize workflows while partnering with Engineering, Product, and Operations. The ideal candidate has 5+ years in AI data operations and 3+ years leading teams, with excellent English communication and a track record of

Qualifications

• 5+ years of experience in AI data operations, data annotation, content quality, Trust & Safety, or similar production environments.
• 3+ years of experience leading teams and managing projects, with delivery ownership.
• Strong communication and stakeholder management skills.
• Excellent written and verbal English.
• Ability to prioritize in a fast-moving environment.
• Experience documenting processes and quality guidelines.

Responsibilities

• Lead day-to-day operations of a team of multimodal AI annotators and reviewers.
• Provide people leadership, coaching, performance management, and workload planning.
• Balance quality, delivery timelines, and operational priorities.
• Own client-facing meetings, provide project updates and risk plans.
• Serve as the primary contact for workflow questions and escalations.
• Monitor performance, quality metrics, and project health.
• Develop annotation guidelines, documentation, and quality standards.
• Coordinate calibration sessions and quality reviews.
• Collaborate with Quality, Operations, Product, and Engineering teams.
• Support onboarding and development of new team members.
• Identify risks and drive proactive solutions to keep projects on track.
• Prepare regular reports on status, quality trends, and KPIs.

Skills

People leadership

Stakeholder management

Project management

English communication

Tools

Python

SQL

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.

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.