Perform Chinese annotation, labeling, and quality review of multimodal datasets (text, image, video, audio) for generative AI. Evaluate AI prompts/responses, conduct QA, identify edge cases, refine guidelines, and collaborate with teams to improve annotation workflows and tooling.
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
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
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.
To know more details (Click here)
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.
Similar Jobs
Artificial Intelligence • Machine Learning • Natural Language Processing • Professional Services
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.
Consumer Web • eCommerce • Internet of Things
Lead developer distribution strategy and a cross-functional team to drive developer adoption of DNSid via SDKs, docs, portals, standards work, integrations, and measurable adoption signals while staying hands-on technically and managing hiring and performance.
Top Skills:
A2AAgent FrameworksAi-OrchestrationAPIsGitGoIdentity/AuthMcpPythonSdksTypescript
Consumer Web • eCommerce • Internet of Things
Lead security architecture and threat modeling for the DNSid platform. Design cryptographic core, build secure SDKs (TypeScript, Go, Python), enforce supply-chain and deployment security, partner on standards (IETF), and own org-wide security posture including secrets management, SOC 2 readiness, and incident response.
Top Skills:
DidDnsDnssecEd25519GoIetfJwksJwtOauth2OidcPkiPythonSoc 2TlsTxt RecordsTypescriptVerifiable CredentialsWebauthn
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
