David Otieno

Key Skills

Software

Remotasks

Top Subject Matter

Autonomous Driving (LiDAR)

Machine Learning Image Segmentation

Natural Language Processing/Sentiment Analysis

Top Data Types

3D Sensor

Image

Text

Video

Top Task Types

Cuboid

Segmentation

Entity Ner Classification

Tracking

Freelancer Overview

Advanced Data Tasker | Data Annotation Specialist. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks. Education includes Bachelor of Science, Pioneer International University (2024) and Kenya Certificate of Secondary Education, Ngere High School (2019). AI-training focus includes data types such as 3D Sensor, Image, and Text and labeling workflows including Cuboid, Segmentation, and Entity (NER) Classification.

Labeling Experience

Advanced Data Tasker | Video Annotation Specialist | CVAT SOFTWARE FUNCTIONALITY

RemotasksVideoTracking

I engaged in video tracking projects, annotating objects and trajectories to provide training data for smart security and surveillance AI models. Tasks focused on accurately tracing movement patterns in crowded environments. High accuracy and strict adherence to workflow protocols were maintained throughout the annotation process. • Tracked objects and polylines in urban high-traffic video feeds. • Used Remotask Workbench to annotate and review video sequences. • Collaborated with peers to clarify complex movement scenarios and guidelines. • Supported development of smart surveillance and security systems.

I engaged in video tracking projects, annotating objects and trajectories to provide training data for smart security and surveillance AI models. Tasks focused on accurately tracing movement patterns in crowded environments. High accuracy and strict adherence to workflow protocols were maintained throughout the annotation process. • Tracked objects and polylines in urban high-traffic video feeds. • Used Remotask Workbench to annotate and review video sequences. • Collaborated with peers to clarify complex movement scenarios and guidelines. • Supported development of smart surveillance and security systems.

2020 - Present

Advanced Data Tasker | Text Annotation Specialist

RemotasksTextEntity Ner Classification

Within specialized Natural Language Processing projects, I categorized and classified text data to support sentiment analysis and intent recognition models. Tasks involved careful review and accurate annotation according to project guidelines. My contribution improved data quality for global retail and AI solutions. • Performed text annotation for sentiment and intent categorization. • Applied quality control and consistency checks to annotated datasets. • Utilized Remotask Workbench and certification-acquired NLP best practices. • Supported e-commerce and conversational AI projects through rigorous annotation.

Within specialized Natural Language Processing projects, I categorized and classified text data to support sentiment analysis and intent recognition models. Tasks involved careful review and accurate annotation according to project guidelines. My contribution improved data quality for global retail and AI solutions. • Performed text annotation for sentiment and intent categorization. • Applied quality control and consistency checks to annotated datasets. • Utilized Remotask Workbench and certification-acquired NLP best practices. • Supported e-commerce and conversational AI projects through rigorous annotation.

2020 - Present

Advanced Data Tasker | Image Annotation Specialist

RemotasksImageSegmentation

I performed semantic segmentation and pixel-level labeling using annotation software to deliver detailed images for AI training. My responsibilities included identifying and labeling various objects to enhance object detection algorithms. The role required a thorough understanding of annotation guidelines and rigorous attention to detail. • Executed polygon annotation and semantic segmentation tasks for multiple imaging projects. • Used Remotask Workbench for image labeling workflows. • Contributed to quality assurance efforts and guideline interpretation for complex visual datasets. • Maintained high throughput while ensuring annotation accuracy.

I performed semantic segmentation and pixel-level labeling using annotation software to deliver detailed images for AI training. My responsibilities included identifying and labeling various objects to enhance object detection algorithms. The role required a thorough understanding of annotation guidelines and rigorous attention to detail. • Executed polygon annotation and semantic segmentation tasks for multiple imaging projects. • Used Remotask Workbench for image labeling workflows. • Contributed to quality assurance efforts and guideline interpretation for complex visual datasets. • Maintained high throughput while ensuring annotation accuracy.

2020 - Present

Advanced Data Tasker | Data Annotation Specialist

Remotasks3D SensorCuboid

As an Advanced Data Tasker on the Remotask platform, I specialized in annotating high-fidelity 3D datasets for autonomous vehicle training. My work emphasized precise labeling of objects and obstacles in LiDAR point clouds to support machine learning development. Consistently, I maintained a quality rating above 95% while adapting rapidly to evolving project guidelines. • Delivered 3D cuboid annotations for pedestrian and vehicle detection in autonomous navigation. • Supported advanced Gold and Platinum project tasks requiring expert-level annotation skills. • Utilized Remotask Workbench and LiDAR annotation tools for accurate and efficient labeling. • Collaborated with team leads to resolve labeling ambiguities and ensure data consistency.

As an Advanced Data Tasker on the Remotask platform, I specialized in annotating high-fidelity 3D datasets for autonomous vehicle training. My work emphasized precise labeling of objects and obstacles in LiDAR point clouds to support machine learning development. Consistently, I maintained a quality rating above 95% while adapting rapidly to evolving project guidelines. • Delivered 3D cuboid annotations for pedestrian and vehicle detection in autonomous navigation. • Supported advanced Gold and Platinum project tasks requiring expert-level annotation skills. • Utilized Remotask Workbench and LiDAR annotation tools for accurate and efficient labeling. • Collaborated with team leads to resolve labeling ambiguities and ensure data consistency.

2020 - Present

Education

Work History