Project Epsilon - Portuguese (Portugual) Data Trainer

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?") 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 Portuguese • 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: $36/hr • Duration: Long-term