Generative AI Analyst (Chinese zh-CN) – Onsite | San Jose, CA
Job Description
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.
What You’ll Do
- 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
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.
What You’ll Do
- 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