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Andiswa Sumo

Andiswa Sumo

Data Annotator

South Africa flagDurban, South Africa
$15.00/hrIntermediateLabelboxTelusClickworker

Key Skills

Software

LabelboxLabelbox
TelusTelus
ClickworkerClickworker
Data Annotation TechData Annotation Tech
MercorMercor
Micro1
OneFormaOneForma
Other
AppenAppen

Top Subject Matter

AI/ML Model Training
AI Education/Data Science
Text Analytics/Social Media

Top Data Types

TextText
ImageImage
AudioAudio

Top Task Types

Classification
Entity Ner Classification
Bounding Box
Segmentation
Object Detection
Text Generation
Transcription
Evaluation Rating
Data Collection

Freelancer Overview

Data Annotator. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and N. Education includes Certificate, Explore AI Academy (2022) and Certificate, FNB Academy | ITVarsity (2025). AI-training focus includes data types such as Text and labeling workflows including Classification and Entity (NER) Classification.

IntermediateEnglishZulu

Labeling Experience

Data Annotator

TextClassification
As a Data Annotator, I performed comprehensive data annotation on text, audio, image, and video files to support AI and machine learning model training. My work included transcription, audio segmentation, ASR validation, speaker transcription, and annotation for computer vision tasks. I evaluated AI-generated outputs and conducted quality assurance reviews for accuracy and reliability. • Executed bounding box annotation, object grounding, and temporal action tagging on multimedia data. • Maintained high standards of linguistic precision and analytical reasoning in annotation tasks. • Performed quality assurance, artifact detection, and evaluation of TTS, dubbing, and AI model outputs. • Created camera view instructions and conducted head-to-head model evaluation to enhance dataset quality.

As a Data Annotator, I performed comprehensive data annotation on text, audio, image, and video files to support AI and machine learning model training. My work included transcription, audio segmentation, ASR validation, speaker transcription, and annotation for computer vision tasks. I evaluated AI-generated outputs and conducted quality assurance reviews for accuracy and reliability. • Executed bounding box annotation, object grounding, and temporal action tagging on multimedia data. • Maintained high standards of linguistic precision and analytical reasoning in annotation tasks. • Performed quality assurance, artifact detection, and evaluation of TTS, dubbing, and AI model outputs. • Created camera view instructions and conducted head-to-head model evaluation to enhance dataset quality.

2025 - Present

Data Science Tutor

TextClassification
As a Data Science Tutor, I guided students through data analysis, preparing datasets and delivering practical AI/ML instruction. My contributions fostered hands-on learning, with a focus on interpreting and extracting value from structured data. I provided feedback, troubleshooting, and advice on AI/data-related tasks. • Trained students in preparing, cleaning, and annotating datasets for real-world analysis. • Supported exploratory data analysis, visualization, and reporting. • Fostered collaboration and interactive learning around AI/data workflows. • Ensured students developed robust data analysis and AI application skills.

As a Data Science Tutor, I guided students through data analysis, preparing datasets and delivering practical AI/ML instruction. My contributions fostered hands-on learning, with a focus on interpreting and extracting value from structured data. I provided feedback, troubleshooting, and advice on AI/data-related tasks. • Trained students in preparing, cleaning, and annotating datasets for real-world analysis. • Supported exploratory data analysis, visualization, and reporting. • Fostered collaboration and interactive learning around AI/data workflows. • Ensured students developed robust data analysis and AI application skills.

2023 - 2024

NLP Data Labeling Contributor (Agric Valuations)

TextEntity Ner Classification
As part of the Agric Valuations project, I extracted structured information from unstructured farm valuation documents using Natural Language Processing. My work focused on pipeline design, text cleaning, and entity extraction for agricultural data. This enabled reliable transformation of raw documents into machine-readable datasets for AI models. • Developed entity extraction, text processing, and feature engineering flows for valuation data. • Supported model training by providing structured and labeled farm attributes. • Ensured data integrity and model readiness through precise document annotation. • Contributed to reliable agricultural machine learning datasets used in modeling.

As part of the Agric Valuations project, I extracted structured information from unstructured farm valuation documents using Natural Language Processing. My work focused on pipeline design, text cleaning, and entity extraction for agricultural data. This enabled reliable transformation of raw documents into machine-readable datasets for AI models. • Developed entity extraction, text processing, and feature engineering flows for valuation data. • Supported model training by providing structured and labeled farm attributes. • Ensured data integrity and model readiness through precise document annotation. • Contributed to reliable agricultural machine learning datasets used in modeling.

2022 - 2022

Data Science Learnership Participant

TextEntity Ner Classification
During the Data Science Learnership, I collected, cleaned, and analyzed social media text data for sentiment and recommendation model development. My responsibilities included labeling data for classification, entity recognition, and sentiment insights. I also supported model deployment and feature engineering for AI/ML use cases. • Applied exploratory data analysis and text annotation techniques on social datasets. • Labeled data for supervised learning and Natural Language Processing projects. • Provided structured entity extraction for machine learning pipelines. • Assisted with the deployment of models for sentiment and recommendation tasks.

During the Data Science Learnership, I collected, cleaned, and analyzed social media text data for sentiment and recommendation model development. My responsibilities included labeling data for classification, entity recognition, and sentiment insights. I also supported model deployment and feature engineering for AI/ML use cases. • Applied exploratory data analysis and text annotation techniques on social datasets. • Labeled data for supervised learning and Natural Language Processing projects. • Provided structured entity extraction for machine learning pipelines. • Assisted with the deployment of models for sentiment and recommendation tasks.

2022 - 2022

Education

C

Coursera | Nemisa

Certificate, Cybersecurity

Certificate
2025 - 2025
F

FNB Academy | ITVarsity

Certificate, Full-Stack Development

Certificate
2025 - 2025

Work History

R

RWS

Data Annotator

Durban
2025 - Present
A

ASAP Tickets

Lead Generation Specialist

N/A
2025 - 2025