Tadiwanashe S. NziraindeFu

Annotated image and video datasets for object detection and segmentation using CVAT and Labelbox. Maintained accurate and consistent labels across complex scenes. Developed annotation protocols to handle ambiguous visual cases and to support consistent quality across the team. Streamlined repetitive data preparation and review tasks using Python, OpenCV, and pandas, and supported model-training export requirements.

Annotate and label text datasets for LLM and NLP projects to support tasks such as chatbot training, translation, and text analysis. Apply linguistic nuance and contextual judgment to complex text while following project guidelines. Review labels for accuracy and consistency, and seek clarification for ambiguous or unclear cases. Collaborate with AI teams to incorporate review feedback and align annotation outputs with evaluation and production needs.

Performed daily data annotation quality checks against project guidelines, focusing on label accuracy, completeness, and consistency. Identified recurring annotation errors, documented common issues, and supported corrective actions to reduce rework. Trained and mentored annotators on platform workflows, guideline interpretation, and confidentiality/data-handling expectations.