David Punyua

Key Skills

Software

Labelbox

CloudFactory

Top Subject Matter

Autonomous Vehicles

Computer Vision

E-commerce Product Data & Taxonomy

Top Data Types

Image

Audio

Top Task Types

Bounding Box

Classification

Transcription

Freelancer Overview

Data Annotation Specialist at Sama. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox and CloudFactory. Education includes Bachelor of Science, University of Nairobi (2020). AI-training focus includes data types such as Image and Audio and labeling workflows including Bounding Box, Classification, and Transcription.

Labeling Experience

Data Annotation Specialist at Sama

LabelboxImageBounding Box

As a Data Annotation Specialist at Sama, I labeled over 1,500 images weekly for autonomous vehicle projects using bounding boxes and polylines. I consistently upheld a quality score above 98.5% through strict self-review and careful adherence to client guidelines. My role also included mentoring new hires and ensuring compliance with data privacy standards. • Labeled images to identify vehicles, pedestrians, and traffic signs for autonomous vehicle AI. • Utilized tools such as Labelbox, Supervisely, CVAT, and Scale AI Platform. • Served as a Subject Matter Expert (SME) for process improvement and team onboarding. • Maintained confidentiality and adherence to international data handling protocols.

As a Data Annotation Specialist at Sama, I labeled over 1,500 images weekly for autonomous vehicle projects using bounding boxes and polylines. I consistently upheld a quality score above 98.5% through strict self-review and careful adherence to client guidelines. My role also included mentoring new hires and ensuring compliance with data privacy standards. • Labeled images to identify vehicles, pedestrians, and traffic signs for autonomous vehicle AI. • Utilized tools such as Labelbox, Supervisely, CVAT, and Scale AI Platform. • Served as a Subject Matter Expert (SME) for process improvement and team onboarding. • Maintained confidentiality and adherence to international data handling protocols.

2022 - Present

Audio Transcriber (Junior Data Annotator) at CloudFactory

CloudfactoryAudioTranscription

During my tenure at CloudFactory, I transcribed and timestamped audio files for a voice recognition startup. The work involved maintaining a 99% accuracy rate while processing Swahili and English recordings for AI language models. The task improved the training data quality for speech-to-text systems. • Transcribed and annotated audio data for machine learning applications. • Ensured high accuracy and quality of labeled data. • Supported multiple language models with bilingual transcription tasks. • Used CloudFactory's proprietary audio transcription tools for annotation.

During my tenure at CloudFactory, I transcribed and timestamped audio files for a voice recognition startup. The work involved maintaining a 99% accuracy rate while processing Swahili and English recordings for AI language models. The task improved the training data quality for speech-to-text systems. • Transcribed and annotated audio data for machine learning applications. • Ensured high accuracy and quality of labeled data. • Supported multiple language models with bilingual transcription tasks. • Used CloudFactory's proprietary audio transcription tools for annotation.

2021 - 2022

Junior Data Annotator at CloudFactory

CloudfactoryImageClassification

At CloudFactory, I worked as a Junior Data Annotator classifying e-commerce product images for a recommendation engine. My responsibilities included categorizing images into over 50 classes and helping optimize AI model training datasets. I achieved consistently high productivity and accuracy in image classification tasks. • Classified product images to support retail AI applications. • Used industry tools including CVAT and CloudFactory's proprietary tools. • Managed complex datasets with attention to detail and accuracy. • Recognized for ranking in the top 10% for processing speed and volume.

At CloudFactory, I worked as a Junior Data Annotator classifying e-commerce product images for a recommendation engine. My responsibilities included categorizing images into over 50 classes and helping optimize AI model training datasets. I achieved consistently high productivity and accuracy in image classification tasks. • Classified product images to support retail AI applications. • Used industry tools including CVAT and CloudFactory's proprietary tools. • Managed complex datasets with attention to detail and accuracy. • Recognized for ranking in the top 10% for processing speed and volume.

2021 - 2022

Education

Work History