Project Epsilon - Uzbek Data Trainer

Job description

**About the Role** We are looking for detail-oriented Trainers to support an AI data annotation project. In this role, you will review pre-seeded questions paired with images and provide accurate "golden" answers based on what you observe in the image. This is a task-based, remote-friendly opportunity ideal for individuals who are meticulous, and able to follow detailed instructions consistently. **What You'll Do** - Review a pre-seeded question along with an accompanying image (e.g., "What is the title of the Excel file based on what you see in the image?") - Carefully examine image content to identify the relevant details needed to answer the question - Provide a clear, accurate "golden” answer based solely on the visual information provided - Flag any images that are unclear, corrupted, or insufficient to answer the question - Maintain consistency and quality across a batch of tasks - Follow project-specific guidelines and rubrics as provided by the project team **What We're Looking For** - Native/Strong proficiency at **Uzbek** - Fluent English proficiency (reading/writing) - Bachelor's degree required - Strong attention to detail and accuracy - Ability to follow written instructions precisely and consistently - Reliable access to a computer and internet connection - Prior experience with data annotation, data labeling, or quality review is a plus **Work Format & Compensation** - Work Type: freelance, remote - Hours/Schedule: 10 hours per week - Compensation: $26.4/hr - Duration: Long-term