Remote Simplified Chinese Linguistic Expert for AI QA

Confidential; United States; Remote; USD 39,000 - 69,000; Full time

Benefits offered by this job

100% remote contract

Job summary

Confidential is seeking experienced Simplified Chinese Linguistic Experts to evaluate AI-driven Chinese tasks and curate high-quality linguistic data for training large language models. The role focuses on assessing LLM performance in Simplified Chinese, editing for accuracy and cultural appropriateness, and providing detailed linguistic feedback for ongoing model improvements.

The position is 100% remote for candidates located in the United States, offering a flexible contract arrangement with

Qualifications

• Native or near-native fluency in Simplified Chinese with strong grammar and style.
• Professional experience in translation, editing, linguistic annotation, or NLP data work in Chinese.

Responsibilities

• Evaluate quality and accuracy of LLM-generated Simplified Chinese text across use cases (translation, summarization, dialogue, grammar).
• Edit and refine Chinese content to meet linguistic and cultural standards for Simplified Chinese readers (mainland China, Singapore).
• Annotate Chinese text for grammatical, syntactic, and semantic features.
• Identify model errors and language gaps; collaborate with AI researchers to improve LLM performance.
• Provide detailed linguistic feedback to guide model training.

Skills

Native Chinese (Simplified)

English proficiency

Linguistic annotation

Editing/translation

Attention to detail

Job description

Confidential is seeking experienced Simplified Chinese Linguistic Experts to evaluate AI-driven Chinese tasks and curate high-quality linguistic data for training large language models. The role focuses on assessing LLM performance in Simplified Chinese, editing for accuracy and cultural appropriateness, and providing detailed linguistic feedback for ongoing model improvements.

The position is 100% remote for candidates located in the United States, offering a flexible contract arrangement with