Ronald Otieno

Key Skills

Software

Scale AI

Appen

Telus

Top Subject Matter

Autonomous Vehicles

E-commerce Visual Search

Healthcare & Computer Vision

Top Data Types

Image

Video

Audio

Top Task Types

Bounding Box

Classification

Segmentation

Freelancer Overview

Senior Data Annotation Specialist. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Appen, and Telus. Education includes Bachelor of Science, University of Nairobi (2019). AI-training focus includes data types such as Image and labeling workflows including Bounding Box and Classification.

Labeling Experience

Senior Data Annotation Specialist

Scale AIImageBounding Box

I led annotation projects for autonomous vehicle image datasets, specializing in LiDAR point cloud labeling and semantic segmentation. My responsibilities included 3D bounding box labeling, team training for audio transcription, and quality checking sentiment labeling. I developed annotation guidelines for video action recognition for major technology clients. • Regularly processed over 50,000 image frames monthly with 99.2% accuracy • Specialized in LiDAR point clouds, polygons, and semantic segmentation • Developed and reviewed guidelines for video action tasks • Trained and evaluated a team of 12 annotators

I led annotation projects for autonomous vehicle image datasets, specializing in LiDAR point cloud labeling and semantic segmentation. My responsibilities included 3D bounding box labeling, team training for audio transcription, and quality checking sentiment labeling. I developed annotation guidelines for video action recognition for major technology clients. • Regularly processed over 50,000 image frames monthly with 99.2% accuracy • Specialized in LiDAR point clouds, polygons, and semantic segmentation • Developed and reviewed guidelines for video action tasks • Trained and evaluated a team of 12 annotators

2022 - Present

AI Data Labeling Specialist

AppenImageClassification

I executed large-scale image classification and object detection projects for e-commerce and visual search applications. My work included video annotation for action localization and multi-object tracking, as well as extensive audio annotation. I maintained high accuracy scores across all annotation types and developed efficient annotation workflows. • Completed image and video datasets for e-commerce AI • Performed 10,000+ hours of audio annotation including sentiment detection • Maintained quality scores of 98.5%+ • Reduced project turnaround time by 30% through workflow improvements

I executed large-scale image classification and object detection projects for e-commerce and visual search applications. My work included video annotation for action localization and multi-object tracking, as well as extensive audio annotation. I maintained high accuracy scores across all annotation types and developed efficient annotation workflows. • Completed image and video datasets for e-commerce AI • Performed 10,000+ hours of audio annotation including sentiment detection • Maintained quality scores of 98.5%+ • Reduced project turnaround time by 30% through workflow improvements

2020 - 2022

Junior Data Annotator & QA Specialist

TelusImageBounding Box

I performed foundational data labeling for computer vision startups, focusing on bounding boxes, polygons, and keypoints. My duties included quality assurance on medical imaging datasets and audio transcription for AI assistants. I contributed to the development and validation of training data for various AI domains. • Labeled images for detection and segmentation tasks • Conducted QA for medical imaging datasets • Assisted with audio transcription for voice assistants • Supported startup projects in computer vision and healthcare

I performed foundational data labeling for computer vision startups, focusing on bounding boxes, polygons, and keypoints. My duties included quality assurance on medical imaging datasets and audio transcription for AI assistants. I contributed to the development and validation of training data for various AI domains. • Labeled images for detection and segmentation tasks • Conducted QA for medical imaging datasets • Assisted with audio transcription for voice assistants • Supported startup projects in computer vision and healthcare

2019 - 2020

Education

Work History