Project Epsilon - Chinese Data Trainer

Accountabilities: The Project Epsilon - Chinese Data Trainer is responsible for reviewing and validating image-based data, ensuring that AI training datasets meet accuracy and quality standards. The role focuses on careful analysis, consistent application of project guidelines, and delivering reliable outputs within a remote working environment. Review pre-seeded questions paired with images and determine the correct answers based solely on the visual information provided. Analyze image content carefully to identify relevant details needed to create accurate “golden” answers. Provide clear, precise, and consistent responses following project-specific instructions and quality standards. Identify and flag unclear, incomplete, corrupted, or insufficient images requiring additional review. Maintain accuracy and consistency across assigned batches of data validation tasks. Follow detailed guidelines, rubrics, and workflows provided by the project team. Support the improvement of AI training data through reliable and high-quality annotations. Requirements: The ideal candidate is detail-oriented, reliable, and comfortable working independently on structured data review tasks. Strong language skills and the ability to interpret written instructions accurately are essential for success in this role. Native or strong proficiency in Chinese. Fluent English proficiency, particularly for reading and written communication. Bachelor’s degree required. Exceptional attention to detail and commitment to accuracy. Ability to follow written instructions precisely and consistently. Strong analytical skills with the ability to extract relevant information from visual content. Reliable access to a computer and stable internet connection. Previous experience in data annotation, data labeling, quality assurance, or content review is an asset. Benefits: Fully remote freelance opportunity. Flexible task-based work format. Approximately 10 hours per week. Competitive compensation of $36/hour. Long-term project opportunity. Opportunity to contribute to the development of AI technologies. Work independently while gaining experience in AI data training projects.