Oluwatobi O.

Key Skills

Software

Labelbox

CVAT

Supervisely

Top Subject Matter

Computer vision / image annotation for ML datasets

NLP / text annotation for ML datasets

Structured dataset maintenance for data quality

Top Data Types

Image

Text

Document

Top Task Types

Segmentation

Classification

Freelancer Overview

Data Annotation Associate | Sapphire Limited (Jan 2024 – Present). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, CVAT, and Supervisely. AI-training focus includes data types such as Image, Text, and Document and labeling workflows including Segmentation, Entity (NER), and Classification.

Labeling Experience

Data Annotation Associate | Sapphire Limited (Jan 2024 – Present)

LabelboxText

Created and corrected text annotations for NLP datasets used in machine learning model development. Labeled sentiment-related content and performed entity recognition to support downstream NLP tasks. Followed labeling frameworks and incorporated QA reviewer edits to maintain dataset quality. • Named entity recognition (NER) • Sentiment analysis labeling • Entity recognition corrections • Guideline-driven consistency

2024 - Present

Data Annotation Associate | Sapphire Limited (Jan 2024 – Present)

LabelboxImageSegmentation

Annotated large machine learning datasets with a focus on accuracy and consistency across thousands of samples. Performed image labeling tasks including segmentation and object classification while adhering to strict guidelines. Applied QA feedback-based corrections to improve label quality and minimize error rates. • Segmentation annotation • Object classification support • QA guideline adherence • Feedback-driven revision

2024 - Present

Data Entry Specialist | About Device (Jul 2021 – Dec 2023)

DocumentClassification

Completed structured data entry and validation tasks to keep datasets accurate and consistently formatted. Verified and cleaned data to reduce duplication errors and improve retrieval quality for internal use. Handled confidential information responsibly while meeting internal accuracy and policy requirements. • Data entry with formatting standards • Dataset verification and cleaning • Duplication error reduction • Confidential data handling

2021 - 2023

Education

Work History