Generative AI Analyst (Chinese zh-CN) - Onsite - San Jose, CA
ExternalFull-timeOn-site1mo ago
ComplianceGenerative AIMachine LearningNLP
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About the role
We are looking for highly detail-oriented Generative AI Analysts to join our team onsite in San Jose, California. In this role, you will contribute to the development of cutting-edge AI technologies by supporting the annotation, evaluation, and quality review of multilingual and multimodal datasets used to train generative AI systems. This position is ideal for candidates passionate about AI, language, data quality, and emerging technologies, with strong analytical skills and native-level Chinese proficiency.
Responsibilities
- Perform annotation and labeling tasks for Chinese generative AI datasets, including text, image, video, audio, and multimodal content
- Review and evaluate AI-generated prompts and responses across a variety of topics and use cases
- Conduct quality assurance checks to ensure accuracy, consistency, and compliance with annotation guidelines
- Identify edge cases, inconsistencies, and quality issues in datasets and model outputs
- Support data categorization, tagging, evaluation, and content review workflows for machine learning systems
- Assist in the creation and refinement of annotation guidelines and evaluation frameworks
- Collaborate with cross-functional teams to improve operational processes and annotation quality
- Provide feedback on tools, workflows, and annotation methodologies
- 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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Requirements
- Native-level proficiency in Chinese and strong English communication skills (written and verbal)
- Excellent attention to detail and ability to follow complex guidelines and processes
- Strong interest in generative AI, machine learning, and emerging technologies
- Previous experience in data annotation, content review, quality assurance, or labeling operations is preferred
- Bachelor's degree or equivalent practical experience
- Experience or academic background in Finance, STEM, Legal, Medical, Coding, or other specialized fields is highly valued.
- Ability to work onsite full-time in San Jose, CA
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