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O
Odikayo I.

Odikayo I.

Data Annotation Specialist (Remote)

Nigeria flagPort Harcourt, Nigeria

Key Skills

Software

LabelboxLabelbox

Top Subject Matter

NLP and text annotation
Computer vision and image annotation
Speech-to-text and entity recognition

Top Data Types

TextText
AudioAudio
ImageImage
DocumentDocument

Top Task Types

Bounding BoxBounding Box
TranscriptionTranscription
PolygonPolygon
SegmentationSegmentation
ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification
Point/Key PointPoint/Key Point

Freelancer Overview

Data Annotation Specialist (Remote). Brings 14+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox. Education includes Bachelor of Science, University of Port Harcourt (2021). AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Entity (NER), Bounding Box, and Transcription.

Labeling Experience

Labelbox

Data Annotation & NLP Labeling Intern

LabelboxLabelboxAudioAudioTranscriptionTranscription

Assisted with audio annotation to support speech-to-text workflows for machine learning pipelines. Ensured labeled outputs were properly structured for downstream training and entity recognition tasks. Improved dataset quality by correcting misclassified annotations and optimizing annotation work practices. • Assisted speech-to-text annotation activities. • Worked on entity recognition labeling tasks. • Reviewed and corrected misclassified annotations. • Helped maintain data integrity and structure for ML pipelines.

2024 - 2024
Labelbox

Data Annotation

LabelboxLabelboxImageImageBounding BoxBounding BoxPolygonPolygon

No description provided.

2022 - 2024
Labelbox

Data Annotation Specialist (Remote)

LabelboxLabelboxTextTextBounding BoxBounding Box

Produced image annotations to improve computer-vision model training. Implemented bounding-box labeling along with additional CV annotation tasks and performed iterative QA to maintain accuracy. Collaborated with machine learning engineers to refine guidelines and improve dataset consistency. • Applied bounding boxes for object detection style tasks. • Performed data validation and quality assurance with high accuracy. • Reviewed and corrected incorrect or misclassified labels. • Used Labelbox and CVAT for annotation and labeling operations.

2022 - 2024

Education

U

University of Port Harcourt

Bachelor of Science, Pure and Industrial Chemistry

Bachelor of Science
2016 - 2021

Work History

C

Company not specified

IT SUPPORT ASSISTANT MILSOSA4, Port Harcourt, Rivers State

Location not specified
Not specified