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Amedu Isaiah

Amedu Isaiah

Visual design expert || Data Labeler for Autonomous Vehicles

USA flagVancouver, WA, Usa
$17.00/hrExpertLabelboxCVATSupervisely

Key Skills

Software

LabelboxLabelbox
CVATCVAT
SuperviselySupervisely
DataloopDataloop
Scale AIScale AI
AWS SageMakerAWS SageMaker
TelusTelus
ProdigyProdigy
LabelImgLabelImg
AppenAppen

Top Subject Matter

Autonomous Vehicles
Computer Vision
Media & Publishing

Top Data Types

3D Sensor
TextText
AudioAudio
ImageImage

Top Task Types

SegmentationSegmentation
ClassificationClassification
TranscriptionTranscription

Freelancer Overview

3D Segmentation Data Labeler for Autonomous Vehicles. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Technology, Federal University of Technology, Minna (2020). AI-training focus includes data types such as 3D Sensor, Text, and Audio and labeling workflows including Segmentation, Classification, and Transcription.

ExpertEnglish

Labeling Experience

Medical Audio Annotator (Bowel Sounds)

OtherAudioTranscription
I annotated 50 hours of medical audio recordings relating to bowel sounds for AI research in gastrointestinal diagnostics. I followed detailed labeling rules and conducted structured reviews to maintain annotation quality. My work contributed high-quality, clinically relevant audio data for medical AI research. • Supported AI healthcare diagnostic research • Accurately annotated clinical bowel sounds • Maintained strict adherence to labeling protocol • Ensured data integrity through structured reviews

I annotated 50 hours of medical audio recordings relating to bowel sounds for AI research in gastrointestinal diagnostics. I followed detailed labeling rules and conducted structured reviews to maintain annotation quality. My work contributed high-quality, clinically relevant audio data for medical AI research. • Supported AI healthcare diagnostic research • Accurately annotated clinical bowel sounds • Maintained strict adherence to labeling protocol • Ensured data integrity through structured reviews

Not specified

Audio Annotation Specialist (Baby Sounds)

OtherAudioTranscription
I labeled 100 hours of baby-sound audio data, including cries, snoring, and various vocalizations, for machine learning use at a retail company. Strict annotation guidelines and multi-stage review ensured that labels were reliable and consistent. My responsibility was to accurately capture diverse baby sound events and document them for audio classification model development. • Labeled diverse infant vocalizations • Applied meticulous multi-stage review processes • Ensured high-quality audio event tagging • Supported retail-based audio training projects

I labeled 100 hours of baby-sound audio data, including cries, snoring, and various vocalizations, for machine learning use at a retail company. Strict annotation guidelines and multi-stage review ensured that labels were reliable and consistent. My responsibility was to accurately capture diverse baby sound events and document them for audio classification model development. • Labeled diverse infant vocalizations • Applied meticulous multi-stage review processes • Ensured high-quality audio event tagging • Supported retail-based audio training projects

Not specified

Article Classification Specialist

OtherTextClassification
I classified articles from a range of media sources using editorial guidelines to enable accurate content moderation and publication review. The process required speed, accuracy, and consistent application of standards on high-volume content. I maintained detailed records and completed classifications rapidly while upholding quality. • Supported media and publication workflows • Maintained editorial consistency across sources • Processed articles for moderation and review • Prioritized accuracy in fast-paced projects

I classified articles from a range of media sources using editorial guidelines to enable accurate content moderation and publication review. The process required speed, accuracy, and consistent application of standards on high-volume content. I maintained detailed records and completed classifications rapidly while upholding quality. • Supported media and publication workflows • Maintained editorial consistency across sources • Processed articles for moderation and review • Prioritized accuracy in fast-paced projects

Not specified

3D Segmentation Data Labeler for Autonomous Vehicles

Other3D SensorSegmentation
I contributed to a 3D segmentation project involving 45,000 city scene images for an autonomous vehicle company. My work involved labeling vehicles, pedestrians, buildings, road signs, and other features crucial for model training. The project required careful, consistent annotation across complex urban scenes. • Supported autonomous vehicle perception model development • Annotated diverse object classes in dense city environments • Ensured data consistency via robust review standards • Collaborated with a professional annotation team

I contributed to a 3D segmentation project involving 45,000 city scene images for an autonomous vehicle company. My work involved labeling vehicles, pedestrians, buildings, road signs, and other features crucial for model training. The project required careful, consistent annotation across complex urban scenes. • Supported autonomous vehicle perception model development • Annotated diverse object classes in dense city environments • Ensured data consistency via robust review standards • Collaborated with a professional annotation team

Not specified

Education

F

Federal University of Technology, Minna

Bachelor of Technology, Quantity Surveying

Bachelor of Technology
2018 - 2023

Work History

Z

Zedd Creatives

Web Designer

Abuja
2024 - Present
V

Vutoma

Brand Identity Designer

Abuja
2021 - Present