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Empx

Empx

AI Data Annotator - Technology & Internet

KENYA flag
Nairobi, Kenya
$10.00/hrExpertImerit

Key Skills

Software

iMeritiMerit

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage

Top Label Types

Entity Ner Classification
Object Detection

Freelancer Overview

I am a detail-oriented professional with hands-on experience in AI data annotation, labeling, and training, specializing in text, image, and audio datasets. My work with iMerit Scholars and micro1 has given me a strong foundation in applying strict project guidelines, conducting quality assurance checks, and providing structured feedback to improve AI models. I am skilled in using tools such as Google Workspace, Microsoft Office, and various automation platforms like n8n and Zapier to streamline workflows and maintain high accuracy and consistency across large volumes of data. My background also includes e-commerce support, particularly with Shopify, which has enhanced my ability to manage digital projects and collaborate effectively in remote, fast-paced environments. I am committed to maintaining data security, ethical practices, and delivering reliable results for AI-driven projects.

ExpertEnglishSwahili

Labeling Experience

iMerit

Imerit Scholars

ImeritImageEntity Ner ClassificationObject Detection
The project involved data annotation and labeling tasks used to train and improve machine learning models. I worked on annotating text and image data, including classification, tagging, entity labeling, and relevance assessment based on detailed project guidelines. The project size ranged from hundreds to thousands of data points per batch, with strict turnaround times. Quality was ensured through guideline adherence, consistency checks, self-review, and accuracy benchmarks, with feedback loops used to maintain high annotation precision

The project involved data annotation and labeling tasks used to train and improve machine learning models. I worked on annotating text and image data, including classification, tagging, entity labeling, and relevance assessment based on detailed project guidelines. The project size ranged from hundreds to thousands of data points per batch, with strict turnaround times. Quality was ensured through guideline adherence, consistency checks, self-review, and accuracy benchmarks, with feedback loops used to maintain high annotation precision

2023

Education

M

Multimedia University of Kenya

Bachelor of Business Information Technology, Business Information Technology

Bachelor of Business Information Technology
2024 - 2025

Work History

F

Freelance

Virtual Assistant

Nairobi
2023 - Present
F

Freelance

Shopify Developer

Nairobi
2023 - Present