Sylvia Omondi

Key Skills

Software

iMerit

Appen

CVAT

Labelbox

Toloka

Top Subject Matter

AI Training

Transcription and Translation (Swahili & English)

Data Annotation (Image, Video, Text)

Top Data Types

Image

Text

Audio

Document

Top Task Types

Classification

Transcription

Bounding Box

Polygon

Segmentation

Object Detection

Evaluation Rating

Freelancer Overview

Data Labeler. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Quality Assurance and Attention to Detail that aids in error detection and correction. AI-training focus includes data types such as Image and Text and labeling workflows including Classification and Transcription.

Labeling Experience

Data Entry & Annotator

AppenTextTranscription

Corrected and reviewed machine-generated transcriptions in Swahili and English to enhance AI model performance. Adhered to stringent annotation guidelines to ensure the quality of labeled datasets. Performed content validation and annotation to meet project objectives. • Worked on Crowdgen by Appen platform using Appen tools. • Improved labeled data accuracy via detailed reviewing and error detection. • Maintained consistent labeling output aligned with client standards. • Managed annotation and transcription across diverse text datasets.

Corrected and reviewed machine-generated transcriptions in Swahili and English to enhance AI model performance. Adhered to stringent annotation guidelines to ensure the quality of labeled datasets. Performed content validation and annotation to meet project objectives. • Worked on Crowdgen by Appen platform using Appen tools. • Improved labeled data accuracy via detailed reviewing and error detection. • Maintained consistent labeling output aligned with client standards. • Managed annotation and transcription across diverse text datasets.

2023 - Present

Data Labeler

ImeritImageClassification

Labeled AI-generated images to train large language models, following detailed annotation guidelines. Ensured labeling accuracy and dataset consistency across multiple projects. Achieved high standards of data quality in accordance with project requirements. • Applied precise image classification methods for various AI initiatives. • Used iMerit internal tools and CVAT for annotation. • Focused on adhering to project-specific quality benchmarks. • Reviewed labeled datasets for errors and inconsistencies.

Labeled AI-generated images to train large language models, following detailed annotation guidelines. Ensured labeling accuracy and dataset consistency across multiple projects. Achieved high standards of data quality in accordance with project requirements. • Applied precise image classification methods for various AI initiatives. • Used iMerit internal tools and CVAT for annotation. • Focused on adhering to project-specific quality benchmarks. • Reviewed labeled datasets for errors and inconsistencies.

2025 - 2026

Education

Work History