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Michael Okumu

Michael Okumu

Data Labeling & Audio Annotation Contributor (Freelance / Project-Based)

Kenya flagNairobi, Kenya
$5.00/hrExpertCloudfactoryData Annotation TechCVAT

Key Skills

Software

CloudFactoryCloudFactory
Data Annotation TechData Annotation Tech
CVATCVAT
DataloopDataloop
iMeritiMerit
MercorMercor
Micro1
MindriftMindrift
RemotasksRemotasks
TolokaToloka
Surge AISurge AI
SuperAnnotateSuperAnnotate
V7 LabsV7 Labs

Top Subject Matter

Speech Recognition/NLP
Computer Science / Data Systems
Data Annotation & Data Labeling

Top Data Types

AudioAudio
ImageImage
VideoVideo

Top Task Types

Bounding BoxBounding Box
PolygonPolygon
SegmentationSegmentation
ClassificationClassification
CuboidCuboid
Object DetectionObject Detection
Point/Key PointPoint/Key Point
Question AnsweringQuestion Answering
Text SummarizationText Summarization
Data CollectionData Collection
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating
Computer Programming/CodingComputer Programming/Coding
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

Data Labeling & Audio Annotation Contributor (Freelance / Project-Based). Core strengths include Other. Education includes Bachelor of Science, Kabarak University (2020). AI-training focus includes data types such as Audio and labeling workflows including Evaluation and Rating.

ExpertEnglishSwahili

Labeling Experience

Data Labeling & Audio Annotation Contributor (Freelance / Project-Based)

OtherAudio
As a Data Labeling & Audio Annotation Contributor, I annotated and evaluated audio datasets for AI speech recognition and NLP systems. I followed strict annotation guidelines to ensure high-quality, consistent outputs for machine learning model improvement. My work involved structured data labeling, reviewing inconsistencies, and providing key contributions to dataset preparation. • Annotated audio data focusing on speech clarity, tone, and pronunciation. • Supported dataset quality assurance through detailed reviews. • Ensured high standards using established annotation guidelines. • Assisted in preparing labeled data for AI model training.

As a Data Labeling & Audio Annotation Contributor, I annotated and evaluated audio datasets for AI speech recognition and NLP systems. I followed strict annotation guidelines to ensure high-quality, consistent outputs for machine learning model improvement. My work involved structured data labeling, reviewing inconsistencies, and providing key contributions to dataset preparation. • Annotated audio data focusing on speech clarity, tone, and pronunciation. • Supported dataset quality assurance through detailed reviews. • Ensured high standards using established annotation guidelines. • Assisted in preparing labeled data for AI model training.

Not specified

Education

K

Kabarak University

Bachelor of Science, Computer Science

Bachelor of Science
2017 - 2020

Work History

C

Cloudfactory

Data Annotation

Nairobi
2021 - 2026