LLM Analyst (Japanese)

The Work As a Japanese Language LLM Analyst, you will help improve large language models by checking their answers, testing their reasoning, and explaining how responses can be more accurate and useful. You will work with content in both Japanese and English. The work includes research, analytical question answering, scenario creation, and detailed feedback. You will work independently in a remote setting and communicate clearly in writing.

• Read, summarize, and divide substantial content into smaller logical sections.
• Research information online and check claims made in written content.
• Answer questions involving data interpretation, trends, logic, and basic arithmetic.
• Create scenarios and examples that reveal weaknesses in model reasoning.
• Provide correct answers, explanations, constructive feedback, and detailed annotations.
• Analyze examples such as sales growth across locations and rule-based scheduling puzzles.

What It Pays and Takes This is an entry-level, part-time contractor role. Pay details are not provided in the listing.

• Time commitment: 20 or more hours per week.
• Location: Remote and open worldwide.
• Languages: Working ability in both Japanese and English is required.
• Requirements: A reliable desktop or laptop computer and internet connection.
• Skills: Strong analytical, research, critical-thinking, logical-reasoning, writing, comprehension, and feedback skills.
• Helpful strengths: Creative and lateral thinking, data interpretation, basic arithmetic, and clear explanations of conclusions.
• Helpful tools: Familiarity with Excel and Google Suite.
• Helpful background: Study or a degree in engineering, literature, journalism, communications, arts, statistics, or a related area.
• Relevant experience as a business analyst, research analyst, copywriter, journalist, technical writer, editor, or translator may also be valuable.

How It Works Apply on OpenTrain with your resume, then complete the application on the hiring site. About AI Training Work AI training is the human work behind systems that can understand and generate text. Contributors review model answers, create examples, and give precise feedback so AI can reason and communicate more effectively. OpenTrain is where people find and build careers in AI training and data labeling, with a profile that helps them show their experience and apply for projects.