Image Annotation and Evaluation Specialist
Worked on the Aether project through Outlier, performing data annotation and labeling tasks focused on visual quality and accuracy. Compared two images at a time and selected the most accurate or visually correct option based on project guidelines. Carefully evaluated for differences such as color shifts, sharpness, AI artifacts, and adherence to instructions. • Image evaluation and comparison for visual quality. • Identified subtle differences and determined which image followed directions. • Considered realism and reduced AI-generated artifacts. • Used research prompts to ensure output accuracy.