Kaluzi S.

Key Skills

Software

CVAT

Data Annotation Tech

Other

Top Subject Matter

Soccer-related & AI dataset annotation Expert

Computer Vision & AI Annotation Specialist

Image Segmentation and Video Annotation

Top Data Types

Video

Image

Audio

Top Task Types

Action Recognition

Polygon

Bounding Box

Segmentation

Data Collection

Freelancer Overview

AI Data Annotation & LLM Evaluation Specialist with experience in multilingual datasets, image segmentation, video annotation, and AI model evaluation. Skilled in maintaining high annotation accuracy, following complex guidelines, and delivering consistent, high quality outputs for machine learning and generative AI training projects. Experienced in: • LLM response evaluation and ranking • Multilingual data labeling • Image segmentation and object annotation • Video annotation and tracking • Data validation and quality assurance • AI training workflows Focused on accuracy, efficiency, confidentiality, and reliable delivery. Lead Operator, Soccer Annotation & Data Entry Project (WERKIT & Breathe). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Medicine and Bachelor of Surgery, University of Zambia. AI-training focus includes data types such as Video and labeling workflows including Action Recognition.

Labeling Experience

AI Model Evaluation & Data Annotation Specialist, Computer Vision & AI Annotation Specialist, Soccer Annotation & Data Entry Project

OtherVideoSegmentation

Led a soccer annotation and data entry project for AI training, focusing on producing high-quality labeled soccer data. Performed quality assurance to validate annotation accuracy, completeness, and consistency across the dataset. Guided annotators in maintaining reliable labeling outputs suitable for downstream machine learning model training.• Supervised a team of data annotators for soccer-related datasets.• Conducted quality control and verification of labeled data.• Improved annotation workflow processes with management.• Managed remote team communication to maintain labeling consistency.

2023 - 2024

Education

Work History