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Lebogang Babedi

Lebogang Babedi

AI Data Labeling and Response Evaluation

SOUTH_AFRICA flag
Pretoria North, South Africa
$5.00/hrEntry LevelClickworkerTelusOther

Key Skills

Software

ClickworkerClickworker
TelusTelus
Other

Top Subject Matter

AI Response Evaluation
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

AudioAudio
DocumentDocument
ImageImage
TextText
VideoVideo

Top Label Types

Data Collection
Object Detection
Transcription
Question Answering

Freelancer Overview

AI Data Labeling and Response Evaluation. Core strengths include Other. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Entry LevelEnglishZulu

Labeling Experience

Image

ImageClassification
Worked on UHRS tasks via Clickworker, performing image uploads, data capturing, and labeling for AI training purposes. Ensured accuracy and adherence to project guidelines while contributing to dataset quality. Handled a variety of image types and labeling tasks to support AI model training.

Worked on UHRS tasks via Clickworker, performing image uploads, data capturing, and labeling for AI training purposes. Ensured accuracy and adherence to project guidelines while contributing to dataset quality. Handled a variety of image types and labeling tasks to support AI model training.

2026 - Present

AI Data Labeling and Response Evaluation

OtherTextClassification
Completed text labeling and response evaluation tasks used to support AI training datasets. The work involved reviewing prompts and AI generated responses, then applying classification labels based on relevance, accuracy, clarity, and safety. Each task required careful reading of the prompt and response. Responses were compared and rated using written project guidelines. The most helpful response was selected while incorrect, misleading, or unsafe content was flagged. The work involved reviewing many text entries while maintaining consistent labeling decisions across the dataset. Attention to detail was important to ensure labels followed the annotation rules provided. Quality standards were maintained by following labeling instructions closely, checking work before submission, and applying the same decision criteria across similar tasks. This helped ensure reliable labeled data for AI model improvement. The project required strong reading comprehension, focus, and the ability to review information efficiently while maintaining accuracy and consistency.

Completed text labeling and response evaluation tasks used to support AI training datasets. The work involved reviewing prompts and AI generated responses, then applying classification labels based on relevance, accuracy, clarity, and safety. Each task required careful reading of the prompt and response. Responses were compared and rated using written project guidelines. The most helpful response was selected while incorrect, misleading, or unsafe content was flagged. The work involved reviewing many text entries while maintaining consistent labeling decisions across the dataset. Attention to detail was important to ensure labels followed the annotation rules provided. Quality standards were maintained by following labeling instructions closely, checking work before submission, and applying the same decision criteria across similar tasks. This helped ensure reliable labeled data for AI model improvement. The project required strong reading comprehension, focus, and the ability to review information efficiently while maintaining accuracy and consistency.

2025 - 2026

Education

E

EduCourse Online Learning

Certificate in Virtual Assistant, Virtual Assistance

Certificate in Virtual Assistant
2025 - 2026
T

Tshwane University of Technology

Bachelor of Technology in Business Administration, Business Administration

Bachelor of Technology in Business Administration
2019 - 2019

Work History

S

SA Black Clearance

Administrative Office Manager

Pretoria
2014 - Present
L

LegalBest

Operations & Legal Administration Specialist

Pretoria
2012 - 2014