Lead Generative AI Analyst - English (US)

Welocalize; Santa Clara (CA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Welocalize is seeking an experienced Lead Generative AI Analyst to oversee end-to-end AI data operations. The role blends leadership with hands-on process design, coordinating annotators, quality teams, researchers, and engineers to ensure high-quality, scalable results.

The ideal candidate will lead client meetings, build scalable workflows, and drive continuous improvement in a fast-paced Generative AI environment. Hybrid/remote options available from Santa Clara, CA.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Leadership

Stakeholder management

English proficiency

AI data workflows

Problem solving

Python

SQL

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 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.

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.