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Sikolwethu Magagula

AI Data Specialist — Data Annotator & Validator

Swaziland flagNtabamhloshana, Swaziland
$25.00/hrEntry LevelData Annotation TechLabelboxInternal Proprietary Tooling

Key Skills

Software

Data Annotation TechData Annotation Tech
LabelboxLabelbox
Internal/Proprietary Tooling

Top Subject Matter

AI/ML training data for generative AI
Llms Domain Expertise
computer vision

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

SegmentationSegmentation
Bounding BoxBounding Box
TranscriptionTranscription
Data CollectionData Collection
Object DetectionObject Detection
ClassificationClassification

Freelancer Overview

AI Data Specialist — Data Annotator & Validator. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science with Honours, University of KwaZulu-Natal (2023) and Bachelor of Science, University of KwaZulu-Natal (2021). AI-training focus includes data types such as Image and labeling workflows including Segmentation.

Entry LevelEnglishZulu

Labeling Experience

AI Data Specialist — Data Annotator & Validator

ImageSegmentation
As an AI Data Specialist and Data Annotator at RWS Moravia (TrainAI Community), I annotated and labeled multimodal AI training data including text, image, and video datasets. My primary responsibility was to facilitate the development and fine-tuning of large language models and machine learning systems through high-quality data annotation. I performed both annotation and validation, ensuring all training data met enterprise accuracy and consistency standards. • Performed object detection, landmark labeling, attribute tagging, and image segmentation for computer vision models. • Conducted video annotation including object tracking, scene classification, and frame-by-frame labeling. • Evaluated semantic similarity, intent classification, and response quality for NLP model training. • Applied human-in-the-loop validation processes to provide expert feedback for model reliability and reduction of bias.

As an AI Data Specialist and Data Annotator at RWS Moravia (TrainAI Community), I annotated and labeled multimodal AI training data including text, image, and video datasets. My primary responsibility was to facilitate the development and fine-tuning of large language models and machine learning systems through high-quality data annotation. I performed both annotation and validation, ensuring all training data met enterprise accuracy and consistency standards. • Performed object detection, landmark labeling, attribute tagging, and image segmentation for computer vision models. • Conducted video annotation including object tracking, scene classification, and frame-by-frame labeling. • Evaluated semantic similarity, intent classification, and response quality for NLP model training. • Applied human-in-the-loop validation processes to provide expert feedback for model reliability and reduction of bias.

2024 - 2026

Education

U

University of KwaZulu-Natal

Bachelor of Science with Honours, Marine Biology

Bachelor of Science with Honours
2022 - 2023
U

University of KwaZulu-Natal

Bachelor of Science, Marine Biology

Bachelor of Science
2019 - 2021

Work History

I

Independent

Research and Report Writing Consultant

Ntabamhloshana
2024 - Present
J

Joint River Basin Authorities Project Board

Enumerator

Ntabamhloshana
2024 - 2024