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Kolade Oluwasina

Kolade Oluwasina

Senior Data Annotation Specialist

Nigeria flagAkure, Nigeria
ExpertScale AIAppenLionbridge

Key Skills

Software

Scale AIScale AI
AppenAppen
LionbridgeLionbridge

Top Subject Matter

Autonomous Vehicles
Healthcare Data & Medical Documentation
E-commerce Product Data & Taxonomy

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Bounding BoxBounding Box
PolygonPolygon

Freelancer Overview

Senior Data Annotation Specialist. Brings 8+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Scale AI, Appen, and Lionbridge. Education includes Bachelor of Science, University of Oregon (2019). AI-training focus includes data types such as Image and labeling workflows including Bounding Box and Polygon.

Expert

Labeling Experience

Scale AI

Senior Data Annotation Specialist

Scale AIImageBounding Box
As a Senior Data Annotation Specialist at Scale AI, I labeled complex datasets including images, videos, text, and audio for machine learning model training. I ensured high annotation accuracy and performed quality assurance reviews on peer-submitted work. I collaborated on refining annotation taxonomies and trained junior annotators. • Annotated multimodal datasets across autonomous vehicle, healthcare, and e-commerce domains • Exceeded quality benchmarks, maintaining a 98.5% accuracy rate • Conducted validation checks and corrected annotation errors for improved dataset reliability • Mentored and onboarded 15+ junior annotators on various annotation platforms

As a Senior Data Annotation Specialist at Scale AI, I labeled complex datasets including images, videos, text, and audio for machine learning model training. I ensured high annotation accuracy and performed quality assurance reviews on peer-submitted work. I collaborated on refining annotation taxonomies and trained junior annotators. • Annotated multimodal datasets across autonomous vehicle, healthcare, and e-commerce domains • Exceeded quality benchmarks, maintaining a 98.5% accuracy rate • Conducted validation checks and corrected annotation errors for improved dataset reliability • Mentored and onboarded 15+ junior annotators on various annotation platforms

2022 - Present
Appen

Data Annotation Specialist

AppenImagePolygon
While at Appen, I performed image and text annotation, including labeling bounding boxes, polygons, and semantic segments. My work involved multilingual datasets and numerous natural language processing applications. I maintained high inter-annotator agreement and adapted to client-specific annotation platforms. • Executed annotation tasks for computer vision and NLP projects • Labeled data for sentiment analysis and entity recognition tasks • Achieved a 96% inter-annotator agreement score • Processed images and texts using various interfaces and guidelines

While at Appen, I performed image and text annotation, including labeling bounding boxes, polygons, and semantic segments. My work involved multilingual datasets and numerous natural language processing applications. I maintained high inter-annotator agreement and adapted to client-specific annotation platforms. • Executed annotation tasks for computer vision and NLP projects • Labeled data for sentiment analysis and entity recognition tasks • Achieved a 96% inter-annotator agreement score • Processed images and texts using various interfaces and guidelines

2021 - 2022
Lionbridge

Junior Data Annotator

LionbridgeImageBounding Box
As a Junior Data Annotator at Lionbridge, I was responsible for image and video labeling with bounding boxes, keypoints, and classification tags. I worked on data for autonomous driving and conversational AI models. I utilized professional annotation platforms and maintained comprehensive annotation logs. • Labeled images and videos for autonomous vehicle training • Annotated intent and entity data for chatbot development • Used Labelbox, CVAT, and proprietary tools for annotation tasks • Participated in calibration and consistency training sessions

As a Junior Data Annotator at Lionbridge, I was responsible for image and video labeling with bounding boxes, keypoints, and classification tags. I worked on data for autonomous driving and conversational AI models. I utilized professional annotation platforms and maintained comprehensive annotation logs. • Labeled images and videos for autonomous vehicle training • Annotated intent and entity data for chatbot development • Used Labelbox, CVAT, and proprietary tools for annotation tasks • Participated in calibration and consistency training sessions

2019 - 2020

Education

U

University of Oregon

Bachelor of Science, Information Systems

Bachelor of Science
2015 - 2019

Work History

R

Remote

Scale AI

Location not specified
2022 - Present
R

Remote

Appen

Location not specified
2021 - 2022