Moses Chipanda

I am a detail-oriented Data Annotation Team Leader with three years of experience managing large-scale annotation projects for AI and machine learning. I specialize in leading and training annotation teams, enforcing quality standards, and ensuring projects meet tight deadlines.

At Talent Africa I supervised a team of 20 annotators, implemented training programs, and acted as the primary liaison between annotators and project managers/data scientists. I maintained data accuracy above 85% through daily monitoring and random quality checks.

I have hands-on expertise across image, video, text, and audio labeling techniques (bounding boxes, polygons, segmentation, NER, transcription) and am proficient with tools such as Labelbox, CVAT, Supervisely, LabelImg, Amazon SageMaker Ground Truth, and Prodigy. I also contributed to refining annotation guidelines to reduce ambiguity and improve dataset consistency.

I bring strong workflow management, quality assurance, and productivity optimization skills, combined with attention to detail, problem-solving ability, and collaborative leadership—qualities that help improve model performance and deliver reliable datasets on schedule.