Create original Chinese (Simplified) general-knowledge multiple-choice questions for an AI evaluation dataset. This fully remote contract offers flexible scheduling, 20+ hours per week, and $39.69–$48.51 per hour.
Writing & Editing
Remote Hourly · $39.69–$48.51/hr
$39.69–$48.51/hr
Compensation
1 country
Eligibility
Entry
Experience
Aug 8, 2026
Posted
Open to applicants in
China
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About AI Evaluation Work
AI training is the human side of building artificial intelligence. People create and review examples that help modern AI systems understand language, generate useful answers, and perform reliably. This role contributes to that process through carefully written educational content and evaluation questions.
Work remotely with flexible hours.
Contribute directly to the development of cutting-edge AI systems.
Build experience in a fast-growing field that includes writing, evaluation, and data generation.
The Role
OpenTrain AI is seeking a Chinese (Simplified) General Knowledge MCQ Writer to create original, exam-style multiple-choice questions for an AI evaluation dataset. You will write questions across a range of general knowledge topics, provide ten answer options for each question, and include a detailed worked solution explaining the correct answer.
This is a contractor and part-time opportunity with a stated commitment of 20+ hours per week. The role description also specifies a steady 40-hour-per-week commitment, with flexible scheduling. Compensation ranges from $39.69 to $48.51 USD per hour.
Employment type: Contractor, part-time
Work arrangement: Fully remote
Time requirement: 20+ hours per week; the role description specifies a 40-hour-per-week commitment
Pay: $39.69–$48.51 USD per hour
Location eligibility: China
What You'll Do
You will use your own expertise to produce clear, accurate, and original general-knowledge questions in Chinese (Simplified). Each item should be structured like a high-quality exam question and meet the applicable dataset guidelines.
Write original general-knowledge multiple-choice questions in Chinese (Simplified).
Cover a range of general knowledge topics, such as science, history, and literature.
Provide ten answer options for every question, including one correct answer.
Write a thorough worked solution explaining the reasoning behind the correct answer.
Check questions and solutions for clarity, accuracy, and quality.
Follow project guidelines and maintain consistent standards across your work.
Requirements
This opportunity is listed at the entry level, while the role requirements call for relevant professional experience and advanced education. Applicants should carefully review the qualifications below.
Master's degree or PhD in any field.
Two to six years of professional experience.
Native-level proficiency in Chinese (Simplified).
Educated in China or currently based in China.
Ability to write clear, well-structured, exam-style questions.
Ability to create detailed answer options and worked solutions.
Helpful Background
Experience in curriculum development, teaching, or test creation.
Familiarity with general knowledge areas including science, history, and literature.
Previous freelance writing or content creation for AI training datasets.
Why Join AI Training Work
AI training and data-labeling work offers a way to apply language and subject-matter skills to technology from anywhere with an internet connection. Many projects provide flexible workloads, making it possible to fit remote work around other commitments while contributing to how AI systems behave.
Use your Chinese writing and general-knowledge expertise on an AI-focused project.
Work remotely and organize your schedule flexibly.
Develop practical experience creating high-quality training and evaluation data.
How to Apply
Apply through OpenTrain AI and provide information demonstrating your Chinese (Simplified) proficiency, education, professional experience, and ability to write rigorous multiple-choice questions with detailed solutions. Review the time commitment and China-based eligibility requirements before applying.
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