The work
You will evaluate AI-generated responses in Traditional Chinese and English. The work combines language review, fact-checking, reasoning checks, and clear written explanations that help improve AI systems.
- Review AI responses for accuracy, clarity, logical reasoning, and adherence to the prompt.
- Find errors in methodology, concepts, terminology, tone, cultural nuance, and factual claims.
- Compare multiple responses based on correctness and reasoning quality.
- Write clear explanations and model solutions that show the correct method when needed.
- Apply Traditional Chinese localization and translation expertise during AI evaluation tasks.
What it pays and takes
This is a remote, part-time contractor role listed at entry level. Previous AI training, annotation, or evaluation experience is preferred, but the role also calls for strong language, localization, and editorial skills.
- Pay: $25 to $35 per hour.
- Time: 20 or more hours per week.
- Location: Open to candidates in China, Macau, or Taiwan.
- Language: Fluent in Traditional Chinese with strong English reading and writing ability.
- Background: Translation, linguistics, localization, communications, or a related field.
- Knowledge: Familiarity with MQM or LQA, including severity, category, and root-cause analysis.
- Tools: Comfort with CAT tools, translation memory, termbases, and automated quality checks.
- Skills: Strong editorial judgment, close attention to detail, and the ability to fact-check localized content.
- Helpful experience: Terminology management, style guides, copyediting, multilingual localization, clear documentation, and dependable responsiveness across time zones.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is where you find the role and begin the application; it is not the employer or contractor for this position.
About AI training work
AI training is the human work behind systems that generate and understand text, images, audio, and code. People review examples, rate model responses, and write better ones so AI systems can improve, while OpenTrain gives contributors a free place to find these projects and build a career profile.