David Njoroge

Key Skills

Software

Label Studio

CVAT

Top Subject Matter

Natural Language Processing (NLP)

Speech Recognition / Audio Processing

Computer Vision

Top Data Types

Text

Audio

Image

Document

Top Task Types

Entity (NER) Classification

Transcription

Bounding Box

Freelancer Overview

Data Annotation Specialist — Text Annotation. Core strengths include Label Studio and CVAT. Education includes Kenya Certificate of Secondary Education, Kenya National Examinations Council. AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Entity (NER) Classification, Transcription, and Bounding Box.

Labeling Experience

Data Annotation Specialist — Image Annotation

CVATImageBounding Box

Annotated image datasets for computer vision projects using bounding box, polygon segmentation, and image classification techniques. Followed client-defined taxonomies and detailed annotation guidelines to ensure dataset consistency. Maintained high accuracy standards throughout the annotation process using advanced annotation platforms. • Drew bounding boxes and polygons for object detection tasks • Classified images with detailed category and landmark labeling • Utilized CVAT and Label Studio for high-precision annotation • Performed multi-pass quality checks for error detection

Annotated image datasets for computer vision projects using bounding box, polygon segmentation, and image classification techniques. Followed client-defined taxonomies and detailed annotation guidelines to ensure dataset consistency. Maintained high accuracy standards throughout the annotation process using advanced annotation platforms. • Drew bounding boxes and polygons for object detection tasks • Classified images with detailed category and landmark labeling • Utilized CVAT and Label Studio for high-precision annotation • Performed multi-pass quality checks for error detection

2024 - Present

Data Annotation Specialist — Audio Annotation

Label StudioAudioTranscription

Annotated audio datasets by performing speech segmentation, speaker labeling, and non-verbal sound tagging. Generated training data for Automatic Speech Recognition (ASR) models with high linguistic accuracy in both Swahili and English. Ensured quality and consistency through diligent self- and peer-review processes. • Completed speech-to-text transcription for multi-speaker recordings • Tagged environmental and non-verbal sounds in audio files • Applied speaker diarization with timestamp accuracy • Supported Swahili-language audio annotation for African NLP projects

Annotated audio datasets by performing speech segmentation, speaker labeling, and non-verbal sound tagging. Generated training data for Automatic Speech Recognition (ASR) models with high linguistic accuracy in both Swahili and English. Ensured quality and consistency through diligent self- and peer-review processes. • Completed speech-to-text transcription for multi-speaker recordings • Tagged environmental and non-verbal sounds in audio files • Applied speaker diarization with timestamp accuracy • Supported Swahili-language audio annotation for African NLP projects

2024 - Present

Data Annotation Specialist — Text Annotation

Label StudioTextEntity Ner Classification

As a Data Annotation Specialist, performed text annotation including named entity recognition, sentiment labeling, intent classification, and semantic tagging. Supported AI model development by producing high-quality labeled text data according to strict project guidelines. Maintained accuracy through multi-pass quality checks and feedback cycles. • Labeled Swahili and English corpora for African-language NLP projects • Applied guideline-compliant entity classification and sentiment labeling • Utilized remote annotation platforms for independent labeling tasks • Prioritized confidentiality and accuracy in text data annotation

As a Data Annotation Specialist, performed text annotation including named entity recognition, sentiment labeling, intent classification, and semantic tagging. Supported AI model development by producing high-quality labeled text data according to strict project guidelines. Maintained accuracy through multi-pass quality checks and feedback cycles. • Labeled Swahili and English corpora for African-language NLP projects • Applied guideline-compliant entity classification and sentiment labeling • Utilized remote annotation platforms for independent labeling tasks • Prioritized confidentiality and accuracy in text data annotation

2024 - Present

Education

Work History