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Lead Generative AI Analyst - Chinese

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LE024 Welo Data, LLC

San Francisco, CA (In Person)

Full-Time

Posted 6 days ago (Updated 4 days ago) • Actively hiring

Expires 6/15/2026

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Job Description

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday Candidate Login When creating your Workday account and entering personal information like name, address, please do not use
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Job Responsibilities:
We are hiring an onsite
  • Lead Generative AI Analyst
  • in San Jose, CA 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.
Responsibilities:
  • 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.
Additional Job Details:
Requirements:
  • Native level proficiency in Chinese (zh-CN).
  • 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 be onsite at client headquarters full time. Ways to Stand Out
  • Experience leading annotation programs involving temporal labeling (event boundaries, segmenting, tracking, time-based attributes).
  • Experience with QA/audit operations (sampling plans, defect taxonomy, root cause analysis, calibration).
  • Familiarity with common annotation paradigms (bounding boxes, segmentation, keypoints, tracking, classification) and annotation tools.
  • Experience coordinating with cross-functional teams (product, research, engineering, vendor partners) to resolve guideline ambiguity and improve throughput/quality.
  • Basic scripting (Python) or data analysis skills to support reporting and workflow optimization.
Welocalize is a leading technology-enabled provider of translation, localization, and AI-driven content solutions, helping businesses communicate, innovate, and grow globally. Specializing in complex and regulated industries, Welocalize delivers precise, scalable multilingual content through a powerful combination of advanced AI technologies and expert human talent. At the core is Welocalize's AI-enabled OPAL platform, which transforms translation workflows by integrating machine translation (MT) and large language models (LLMs) to provide fast, accurate, and culturally relevant content in over 300 languages. With a commitment to excellence, Welocalize holds 7 ISO certifications. Welocalize is headquartered in New York with offices all over the globe.

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