Generalist for Chat Response Evaluation (Mandarin)

You will evaluate multilingual conversational data used to improve AI systems. The work involves reading long, multi-turn Mandarin and English chats, comparing two extended responses, and judging their quality.

You will also review conversations that include technical or programming topics. Your evaluations and notes will explain language, logic, clarity, correctness, and overall response quality.

• Read and analyze lengthy Mandarin and English chat transcripts.
• Compare two responses and identify differences in clarity, logic, language quality, and correctness.
• Annotate conversational data with reliable labels and structured insights.
• Use basic coding knowledge to assess Mandarin programming questions and proposed solutions.
• Create clear documentation and notes explaining nuanced quality judgments.
• Communicate clearly with project leads and other contributors in a remote setting.

What it pays and takes

• Pay: $20 to $45 per hour.
• Work type: Remote contractor role with part-time work.
• Language: Fluent written and spoken Mandarin and professional proficiency in written English.
• Location: Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, the United Kingdom, Ghana, Greece, Indonesia, India, Italy, and Jordan.
• Location: Also open to candidates in Japan, Kenya, Kyrgyzstan, Kuwait, Kazakhstan, Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, the Netherlands, Oman, Peru, the Philippines, Pakistan, Palestine, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, the United States, Uzbekistan, Vietnam, and South Africa.
• Technical skill: Basic ability to read and understand code, especially in programming discussions presented in Mandarin.
• Other requirements: Strong attention to detail and clear written and verbal communication skills.
• Preferred background: A bachelor's degree in any discipline or equivalent practical experience.
• Helpful experience: Data annotation, linguistic analysis, educational content, technical content, written-response evaluation, or documentation of detailed quality judgments.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 3 screening questions.

About AI training work

AI training is the human work behind systems that understand language and generate responses. People review examples, rate model outputs, and explain quality issues so AI systems can improve; OpenTrain is a platform where people find these roles and start applications.