WeLocalize
Lead Generative AI Analyst - English US
Santa Clara, CA
Sponsorship not specifiedDetected 1 day ago
PythonSQLMachine LearningData AnalysisLLMsProject ManagementStakeholder ManagementVendor ManagementPerformance ManagementResearchLeadershipCommunicationMentoringOrganizational Skills
About the role
- 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.
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.
- Own client-facing meetings, providing project updates, discussing risks, action plans, and delivery progress.
- Develop and refine annotation guidelines, documentation, and quality standards as projects evolve.
- 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.
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 and managing projects, with ownership of delivery, quality, and operational outcomes.
- Experience leading client meetings and communicating project status to internal and external stakeholders.
- Exceptional organizational skills with the ability to prioritize in a fast-moving environment.
- Experience creating documentation, operational processes, or quality guidelines.
- 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.
Nice to have
- 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.
Benefits
- Monitor team performance, quality metrics, productivity, and project health, identifying opportunities for continuous improvement.
Company info
- What We're Looking For
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