AI Data Analyst (Tagalog)

You will help improve large language models by reviewing Tagalog and English content, testing model reasoning, and explaining why an answer is correct or incorrect. The work combines language skills with research, logic, factuality checks, and clear writing.

You will work independently on detailed text tasks and provide feedback that helps models produce more accurate and useful responses.

• Read, summarize, and divide large bodies of content into clear logical sections.
• Research topics online and check claims made in written content.
• Answer questions involving data interpretation, trends, logical constraints, and basic arithmetic.
• Create scenarios and examples that reveal weaknesses in model reasoning.
• Provide correct answers, explanations, constructive feedback, and detailed annotations.
• Review model outputs carefully and identify the reasoning behind better responses.

The listing does not provide a pay rate. This is a part-time contractor role with a weekly commitment of at least 20 hours.

• Hours: 20 or more hours per week.
• Location: Worldwide and remote.
• Languages: Professional fluency in Tagalog and English, with strong English comprehension.
• Work setup: A reliable desktop or laptop and a good internet connection.
• Core skills: Research, analysis, critical thinking, lateral thinking, clear explanations, and detailed feedback.
• Work style: Self-motivated, independent, and able to communicate effectively in a remote setting.
• Helpful background: A bachelor's degree, undergraduate study, or equivalent experience in engineering, literature, journalism, communications, arts, statistics, or a related field.
• Helpful experience: Business analysis, research analysis, 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 systems that understand and generate text. Contributors review examples, test model answers, and give clear feedback so AI systems learn to be more accurate, helpful, and reliable.