Data Annotator, Atlas Capture
As a Data Annotator at Atlas Capture, I identified and tagged specific elements within various datasets to facilitate AI training. My work involved reviewing and refining manual annotations to improve the accuracy and quality of data. I contributed to the continuous improvement of annotation guidelines and addressed edge cases impacting AI model generalization. • Labeled and classified images with attention to rare or ambiguous scenarios. • Reviewed annotations for errors, inconsistencies, and biases. • Provided actionable feedback to refine project requirements and annotation instructions. • Supported the technical evolution of labeling guidelines through close collaboration with project leads.