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Ike Obiamiwe

Ike Obiamiwe

Remote Data Specialist

United Kingdom flagLondon, United Kingdom
$20.00/hrExpertLabelbox

Key Skills

Software

LabelboxLabelbox

Top Subject Matter

AI Training Data for Computer Vision and Audio Applications
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Bounding BoxBounding Box

Freelancer Overview

Remote Data Specialist. Core strengths include Labelbox. Education includes Bachelor of Science, University of London (2023) and Certificate, Coursera (2022). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

ExpertEnglishFrenchPortugueseSpanish

Labeling Experience

Image Annotation & Object Detection Project for AI Models

ImageSegmentation
Project Description Worked on large-scale image annotation projects to support computer vision model development. Responsible for labeling objects in images using bounding boxes, semantic segmentation, and classification techniques. Annotated a wide range of image datasets including everyday objects, human activities, and real-world environments to improve object detection and recognition systems. Ensured precise labeling by following detailed annotation guidelines and maintaining consistency across datasets. Performed quality assurance checks to validate annotations and correct inconsistencies, achieving high accuracy standards. Managed high-volume datasets while meeting strict deadlines. Utilized tools such as Labelbox, CVAT, and YOLO-based workflows to efficiently complete annotation tasks.

Project Description Worked on large-scale image annotation projects to support computer vision model development. Responsible for labeling objects in images using bounding boxes, semantic segmentation, and classification techniques. Annotated a wide range of image datasets including everyday objects, human activities, and real-world environments to improve object detection and recognition systems. Ensured precise labeling by following detailed annotation guidelines and maintaining consistency across datasets. Performed quality assurance checks to validate annotations and correct inconsistencies, achieving high accuracy standards. Managed high-volume datasets while meeting strict deadlines. Utilized tools such as Labelbox, CVAT, and YOLO-based workflows to efficiently complete annotation tasks.

2022 - Present

Video Annotation & Object Tracking Project for AI Models

VideoBounding Box
Project Description Worked on large-scale video annotation projects to support the development of computer vision models. Responsible for labeling objects across video frames using bounding boxes and segmentation techniques. Performed multi-object tracking by consistently identifying and following objects frame-by-frame to maintain temporal accuracy. Tasks included object detection, motion tracking, and activity recognition in dynamic environments such as urban scenes and human interactions. Ensured high-quality output by strictly following annotation guidelines and conducting regular quality checks. Maintained consistency across thousands of video frames and met tight project deadlines while preserving accuracy. Utilized annotation tools such as Labelbox and CVAT to efficiently complete tasks and manage datasets.

Project Description Worked on large-scale video annotation projects to support the development of computer vision models. Responsible for labeling objects across video frames using bounding boxes and segmentation techniques. Performed multi-object tracking by consistently identifying and following objects frame-by-frame to maintain temporal accuracy. Tasks included object detection, motion tracking, and activity recognition in dynamic environments such as urban scenes and human interactions. Ensured high-quality output by strictly following annotation guidelines and conducting regular quality checks. Maintained consistency across thousands of video frames and met tight project deadlines while preserving accuracy. Utilized annotation tools such as Labelbox and CVAT to efficiently complete tasks and manage datasets.

2022 - Present
Labelbox

Remote Data Specialist

LabelboxImageBounding Box
As a Remote Data Specialist, I completed extensive data annotation and digital task processing for various AI projects. I prepared high-quality datasets by annotating image, video, and audio data, ensuring accuracy and consistency. My responsibilities included quality assurance, adherence to guidelines, and timely project delivery. • Worked with image, video, and audio datasets for machine learning objectives • Applied bounding boxes, segmentation, and tracking techniques across visual data • Utilized leading annotation software including Labelbox, CVAT, and Supervisely • Consistently followed detailed client instructions and met project deadlines.

As a Remote Data Specialist, I completed extensive data annotation and digital task processing for various AI projects. I prepared high-quality datasets by annotating image, video, and audio data, ensuring accuracy and consistency. My responsibilities included quality assurance, adherence to guidelines, and timely project delivery. • Worked with image, video, and audio datasets for machine learning objectives • Applied bounding boxes, segmentation, and tracking techniques across visual data • Utilized leading annotation software including Labelbox, CVAT, and Supervisely • Consistently followed detailed client instructions and met project deadlines.

2022 - Present

Education

U

University of London

Bachelor of Science, Computer Science

Bachelor of Science
2020 - 2023
C

Coursera

Certificate, Machine Learning and Data Annotation

Certificate
2021 - 2022

Work History

A

Appen

Customer Support & Digital Operations Assistant

London
2021 - Present