Business Analyst (Chinese Language) LLM Evaluation

This role involves evaluating written content and analytical scenarios for large language models. You will identify accurate conclusions, explain your reasoning, and provide detailed feedback that helps models improve. The duties and qualifications should be reviewed carefully before applying because the role description focuses on LLM content evaluation.

• Read and summarize substantial written content by breaking it into logical sections.
• Research information online and validate claims in source material.
• Answer questions about trends, data interpretation, logical rules, and basic arithmetic.
• Create scenarios and responses that help language models improve their reasoning.
• Provide correct answers, explanations, constructive feedback, and detailed annotations.
• Use analytical, critical, creative, and lateral thinking to solve unfamiliar problems.

The role is a remote contractor assignment with a full-time weekly commitment. Working hours are flexible within the required overlap with US Pacific time, and the structured requirement is 20+ hours per week.

• Pay: The listing does not provide a pay rate.
• Location: Open worldwide and fully remote.
• Languages: Professional fluency in Chinese and English.
• Experience: Entry level; professional writing, research, journalism, copywriting, technical writing, editing, or translation experience is useful.
• Skills: Strong analysis, critical thinking, research, communication, data interpretation, logical reasoning, and clear written explanations.
• Background: Experience in engineering, literature, journalism, communications, arts, statistics, or a related area is relevant.
• Tools and setup: A desktop or laptop with reliable internet access; familiarity with Excel and Google Suite can help.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind modern artificial intelligence. Contributors review content, write and rate model responses, validate information, and provide feedback so AI systems can learn from accurate examples. People with strong language, research, analytical, or technical skills are valuable because their judgment helps improve how these systems respond.