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I

Iheme Ebuka

Data Annotator, Semble Ai

NIGERIA flag
Remote, Nigeria
$15.00/hrIntermediateRoboflowData Annotation Tech

Key Skills

Software

RoboflowRoboflow
Data Annotation TechData Annotation Tech

Top Subject Matter

Architectural Floor Plans
Building Occupancy Classification

Top Data Types

ImageImage

Top Task Types

Classification
Data Collection

Freelancer Overview

Data Annotator at Semble AI with hands-on experience supporting complex data workflows, research tasks, and quality-driven annotation processes. Skilled in image data labeling and classification, with a strong focus on accuracy, consistency, and adherence to project guidelines. Proven ability to manage large datasets, identify edge cases, and maintain high-quality outputs under tight deadlines, contributing to the development and improvement of AI models. Holds a Bachelor of Science from the University of Nigeria, Nsukka (2024), with specialized training in AI data preparation and labeling methodologies. Brings a detail-oriented mindset, strong analytical skills, and experience working with structured annotation frameworks, making them well-equipped to deliver reliable, high-quality datasets for machine learning applications.

IntermediateIgboEnglish

Labeling Experience

Data Annotator, Semble Ai

OtherImageClassification
As a Data Annotator at Semble Ai, I labeled and classified architectural floor plan images for use in AI vision models. My work included identifying and categorizing occupancy types based on building structure and layout cues. I maintained high annotation accuracy and contributed to refining dataset quality for machine learning training. • Utilized Airtable for structured dataset management and workflow tracking. • Adhered to project guidelines and validation standards throughout annotation tasks. • Focused on distinguishing between Occupancy B and other building types in the dataset. • Played a key role in enhancing overall dataset precision for AI model performance.

As a Data Annotator at Semble Ai, I labeled and classified architectural floor plan images for use in AI vision models. My work included identifying and categorizing occupancy types based on building structure and layout cues. I maintained high annotation accuracy and contributed to refining dataset quality for machine learning training. • Utilized Airtable for structured dataset management and workflow tracking. • Adhered to project guidelines and validation standards throughout annotation tasks. • Focused on distinguishing between Occupancy B and other building types in the dataset. • Played a key role in enhancing overall dataset precision for AI model performance.

2026 - Present

Education

U

University of Nigeria Nsukka

Bachelor of Science, Accounting

Bachelor of Science
2021 - 2024

Work History

T

The Noz Group

Junior Project Manager

Enugu
2025 - 2025
T

Trust Links

Operations Project Coordinator

Enugu
2025 - 2025