Traditional Chinese-Speaking AI Evaluation Expert

You will assess AI-generated responses and localized content, checking whether the answers are accurate, clear, logical, and aligned with the prompt. You will also compare responses and explain what a correct answer or method should look like.

• Review AI responses for accuracy, clarity, logical reasoning, and prompt adherence.
• Find errors in methodology, concepts, terminology, tone, and cultural nuance.
• Fact-check localized content and write clear explanations or model solutions.
• Compare multiple AI responses to support improvements in model quality.
• Apply Traditional Chinese translation and localization expertise during AI evaluation.

What it pays and takes

This is a fully remote, part-time contractor role. It is listed as entry level, but the work requires strong language, editorial, localization, and quality-review skills.

• Pay: $25 to $35 per hour.
• Availability: 20 or more hours per week.
• Work setting: Fully remote.
• Location: Open to candidates in China, Macao, and Taiwan.
• Language: Fluent in Traditional Chinese with strong English reading and writing ability.
• Background: Experience in translation, linguistics, localization, communications, or a related field.
• Quality methods: Familiarity with MQM or LQA, including severity, category, and root-cause thinking.
• Tools: Comfort with CAT tools, translation memory, termbases, and automated quality checks.
• Other skills: Strong editorial judgment, attention to detail, fact-checking, terminology management, style guides, copyediting, and multilingual localization.
• Preferred experience: Previous AI data training, annotation, or evaluation work.

How it works

OpenTrain is a platform where people find AI training work and start their applications. Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind artificial intelligence, including reviewing model responses, checking language, and writing examples that show better answers. People with strong language and localization skills help models produce more accurate and appropriate content, which is why specialized experience matters.