Thai- and English-Speaking AI Content Analyst

As a Thai-English AI Content Analyst, you will review and organize Thai and English content to help improve language models. You will explain your reasoning, assess information carefully, and give detailed feedback on content and model responses.

• Read Thai and English content and organize it into clear logical sections.
• Summarize content accurately while preserving its main meaning.
• Research topics online and validate claims against source material.
• Answer questions about trends, data, logic, and basic arithmetic.
• Create scenarios and examples for language model training.
• Provide correct answers, explanations, constructive feedback, and detailed annotations.
• Use creative and lateral thinking when reviewing content and model responses.

What it pays and takes

This is an entry-level, part-time contractor role. Relevant education or professional writing experience can help, but a degree is not required when you have relevant experience.

• Pay: The listing does not specify a rate.
• Time: At least 20 hours per week.
• Location: Remote and open worldwide.
• Language: Professional fluency in both Thai and English.
• Skills: Strong comprehension, research, analysis, critical thinking, logical reasoning, data interpretation, and written communication.
• Work style: Able to collaborate and work independently in a remote setting.
• Equipment: A reliable desktop or laptop and an internet connection.
• Helpful background: Study in engineering, literature, journalism, communications, arts, statistics, or a related field.
• Useful 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.

How it works

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

About AI training work

AI training work is the human side of building artificial intelligence. People prepare examples, review model answers, and explain what makes a response accurate and useful, helping AI systems improve across languages and tasks.