Business Analyst (Korean) and LLM Evaluator

This role combines business analysis with large language model evaluation. You will review written content and model responses, identify correct answers, and explain the reasoning behind your conclusions. The listing combines business analysis and LLM evaluation, so review the duties and qualifications before applying.

You will work with analytical questions, research tasks, reasoning scenarios, and written content. Your feedback and annotations will help improve how language models answer questions and explain their logic.

• Read, summarize, and break down long content into smaller logical sections.
• Research topics online and check claims made in written content.
• Answer questions about trends, comparisons, data interpretation, and basic arithmetic.
• Create scenarios and questions that help language models learn.
• Solve logic puzzles and explain why an answer is correct.
• Give clear, constructive feedback and detailed annotations on model outputs.
• Work on examples such as comparing sales growth across locations or resolving rule-based delivery scenarios.

The listing does not provide a pay rate. This is an entry-level, part-time contractor role open worldwide, with a commitment of 20 or more hours per week.

• Pay: Not provided in the listing.
• Hours: 20 or more hours per week.
• Location: Open worldwide for remote work.
• Language: Working proficiency in both Korean and English.
• Experience level: Entry level.
• Core skills: Analytical thinking, research, strong English comprehension, clear explanations, detailed feedback, creative and lateral thinking, communication, collaboration, self-direction, and independent remote work.
• Equipment: A reliable desktop or laptop and an internet connection.
• Helpful education: A bachelor's degree or undergraduate study in engineering, literature, journalism, communications, arts, statistics, or a related field.
• Relevant experience: Business analysis, research, copywriting, journalism, technical writing, editing, or translation.
• Helpful tools and knowledge: Excel, Google Suite, data interpretation, logical reasoning, and basic arithmetic.

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

AI training is the human work behind artificial intelligence. People review examples, write answers, check reasoning, and give feedback so AI systems can produce more reliable results. Analytical and language skills matter because models need carefully explained examples and evaluations to improve.