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The Role
Lead and manage a team of Chinese (zh-CN) multimodal annotators and reviewers to meet throughput and quality targets. Own guidelines, calibration, audits, reporting, onboarding, and cross-stakeholder coordination for multimedia labeling workflows.
Summary Generated by Built In
About the Role
We are looking for highly detail-oriented Lead Generative AI Analyst to lead day-to-day execution of Chinese (zh-CN) multimedia and language data labeling and review work (e.g., video, images, and related metadata). This role serves as the primary liaison between annotators, quality stakeholders, and internal project teams, with accountability for throughput, quality performance, and guideline consistency.
What You’ll Do- Lead a team of multimodal annotators and reviewers to deliver work on time and to quality targets.
Act as the day-to-day point of contact for workflow questions; triage issues and escalate unclear cases with clear examples. - Track team performance and quality metrics (throughput, error rates, rework, backlog) and drive corrective actions
- Own calibration and consistency efforts across the team; reduce reviewer-to-reviewer variance through structured reviews and refreshers.
- Create, maintain, and improve guidelines and specifications; document edge cases and update instructions as workflows evolve.
- Establish and run quality workflows (sampling, second-pass review, audits) and ensure follow-up actions are completed.
- Coordinate across internal stakeholders and third-party partners as needed to meet delivery targets.
Support onboarding and training for new annotators, including assessments and ongoing coaching.
Maintain clear reporting on delivery status, risks, and blockers
Requirements
- Native level proficiency in Chinese
- 5+ years of experience in data annotation, multimodal data labeling, computer vision labeling, content QA, or a closely related field, including responsibility for quality and delivery outcomes.
- 2+ years of experience leading teams (people leadership, workflow leadership, or lead reviewer responsibilities).
- Demonstrated track record of delivering high-quality outputs on schedule in a production environment.
- Strong written and verbal communication in English, including the ability to write clear guidelines and provide actionable feedback.
- Experience working from structured guidelines and managing complex edge cases with consistent decision-making.
- Comfortable working with multimedia content for extended periods while maintaining accuracy and attention to detail.
- Ability to work onsite full-time in San Jose, CA
Ways to Stand Out from the Crowd
- Familiarity with generative AI systems, LLMs, RLHF, or multimodal AI workflows
- Experience evaluating prompts, responses, images, videos, or AI training datasets
- QA/testing experience within AI, data operations, or content moderation environments
- Experience with taxonomy creation, evaluation rubrics, or dataset quality initiatives
- Python or scripting knowledge
- Additional language proficiency is a plus (Korean, Japanese, Mandarin, Spanish, German, French, etc.)
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
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In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Skills Required
- Native level proficiency in Chinese (zh-CN)
- 5+ years experience in data annotation, multimodal data labeling, computer vision labeling, content QA, or closely related field with responsibility for quality and delivery
- 2+ years experience leading teams (people leadership, workflow leadership, or lead reviewer responsibilities)
- Demonstrated track record of delivering high-quality outputs on schedule in a production environment
- Strong written and verbal communication in English, including ability to write clear guidelines and provide actionable feedback
- Experience working from structured guidelines and managing complex edge cases with consistent decision-making
- Comfortable working with multimedia content (video, images, metadata) for extended periods while maintaining accuracy and attention to detail
- Ability to work onsite full-time in San Jose, CA
- Familiarity with generative AI systems, LLMs, RLHF, or multimodal AI workflows
- Experience evaluating prompts, responses, images, videos, or AI training datasets
- QA/testing experience within AI, data operations, or content moderation environments
- Experience with taxonomy creation, evaluation rubrics, or dataset quality initiatives
- Python or scripting knowledge
- Additional language proficiency (e.g., Korean, Japanese, Mandarin, Spanish, German, French)
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