Sqiniseko Dludla

Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Top Label Types

Classification

Emotion Recognition

Audio Recording

Freelancer Overview

I am an administrative professional with a strong foundation in IT, data analytics, and cybersecurity, actively building my career in data annotation and AI training data roles. My experience includes over five years in office operations, where I managed and maintained accurate records, handled large volumes of data, and ensured data consistency using tools such as SAP, Google Sheets, and Microsoft Office. Through hands-on certifications in Google Advanced Data Analytics, I have developed skills in data analysis, machine learning, and Python, enabling me to work efficiently with structured and unstructured datasets. I am adept at following detailed guidelines, troubleshooting data inconsistencies, and supporting technical teams with data preparation and labeling tasks. My background in customer service and technical support has strengthened my attention to detail and communication skills, which are essential for high-quality data annotation. I am eager to contribute my analytical abilities and technical knowledge to projects involving AI model training, data labeling for computer vision or NLP, and quality assurance of training datasets.

Labeling Experience

AI Data Annotator & Model Evaluator

Data Annotation TechAudioClassificationEmotion Recognition

Over the past 12 months, I have contributed to AI development projects through Neevo, focusing on training and evaluating models for natural language performance. My work involved selecting models that best replicate human-like communication and naturalness. In addition, I participated in data annotation projects, including labeling selfie images and short video clips, ensuring high-quality datasets for machine learning applications. This combination of model evaluation and data labeling has strengthened my expertise in AI training workflows and dataset preparation

Over the past 12 months, I have contributed to AI development projects through Neevo, focusing on training and evaluating models for natural language performance. My work involved selecting models that best replicate human-like communication and naturalness. In addition, I participated in data annotation projects, including labeling selfie images and short video clips, ensuring high-quality datasets for machine learning applications. This combination of model evaluation and data labeling has strengthened my expertise in AI training workflows and dataset preparation

2024

Education

Work History