Lead Generative AI Analyst - English US

Welo Global•Santa Clara, CA

3d•Hybrid

About The Position

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.

Requirements

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 or managing projects, with ownership of delivery, quality, and operational outcomes.
Demonstrated experience coordinating multiple workstreams while meeting deadlines and quality expectations.
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.

Nice To Haves

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.

Responsibilities

Lead the day-to-day operations of a team of multimodal AI annotators and reviewers.
Drive project execution by balancing quality, delivery timelines, and operational priorities.
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 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.