Chinese LLM Training Analyst

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping people discover projects, build their profiles, and apply in minutes.

Creating an OpenTrain account is free, and this role gives you the opportunity to contribute directly to the development of large language models while working remotely.

About AI Training Work

AI training is the human side of building artificial intelligence. People prepare examples, write prompts, review answers, and provide feedback so modern AI systems can understand information and respond more effectively.

This fast-growing field offers remote opportunities for people with strong language, analytical, research, and reasoning skills. Your work in this role will help shape how language models handle complex content and explanations.

The Role

OpenTrain AI is seeking a Chinese LLM Training Analyst to perform analytical content analysis and scenario creation for fine-tuning large language models. You will work with English and Chinese content, investigate claims, create training examples, and assess the quality of model responses.

This is an entry-level contractor role that is fully remote and requires bilingual proficiency in English and Chinese. The role requires a 40-hour work week with overlap during the US Pacific time zone, while the project is listed as requiring 20 or more hours per week.

• Role type: Contractor and part-time
• Experience level: Entry level
• Work arrangement: Fully remote, worldwide
• Languages: English and Chinese
• Work schedule: 40 hours per week with US Pacific time overlap
• Primary data type: Text

What You'll Do

You will turn complex source material into clear, structured training content and use careful reasoning to evaluate the accuracy and usefulness of language model outputs.

• Read, summarize, and break down large content into smaller logical blocks.
• Conduct online research to validate claims and facts within content.
• Create analytical scenarios and questions for large language model training.
• Solve puzzles and provide correct answers with detailed explanations.
• Provide constructive feedback and annotations to improve model responses.
• Analyze content and model performance in both English and Chinese.

Requirements

Applicants should be comfortable working independently on detailed analytical tasks and producing clear, well-supported written feedback. You will need dependable equipment and internet access to complete remote work.

• Bilingual proficiency in English and Chinese.
• Strong analytical and research skills.
• Ability to validate claims and break down complex content.
• Ability to create analytical scenarios and provide correct answers with explanations.
• Ability to provide constructive feedback and detailed annotations.
• Creative and lateral thinking abilities.
• Comfort working with large language models and giving feedback to improve performance.
• Self-motivated and able to work independently.
• Desktop or laptop with a reliable internet connection.
• Commitment to the required weekly schedule and US Pacific time overlap.

Helpful Background

The following experience can help you succeed in this role, but the position is listed as entry level. Backgrounds involving analysis, writing, research, communication, or quantitative reasoning may be especially relevant.

• Bachelor's degree or undergraduate study in engineering, literature, journalism, communications, arts, statistics, or a related field.
• Professional writing experience as a business analyst, research analyst, copywriter, journalist, technical writer, editor, translator, or in a similar role.
• Understanding of Excel and Google Suite.
• Proficiency in data interpretation, logical reasoning, and basic arithmetic.

How to Apply

Create a free OpenTrain account, build your profile, and apply for this remote AI training opportunity in minutes. If you are fluent in English and Chinese and enjoy research, structured analysis, and explaining your reasoning, this role offers a direct way to help improve cutting-edge language models.