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Musa Haruna

GIS & AI Data Annotation Platform Developer

Morocco flagTanger, Morocco
$25.00/hrIntermediateScale AIAppen

Key Skills

Software

Scale AIScale AI
AppenAppen

Top Subject Matter

Geospatial data annotation for fiber optic and infrastructure mapping

Top Data Types

ImageImage
TextText
Geospatial Tiled ImageryGeospatial Tiled Imagery

Top Task Types

Object DetectionObject Detection
PolylinePolyline

Freelancer Overview

GIS & AI Data Annotation Platform Developer. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, Université Hassan II – Faculté des Sciences Aïn Chock (2025) and Bachelor of Science, Université Hassan II – Faculté des Sciences Aïn Chock (2023). AI-training focus includes data types such as Geospatial and Tiled Imagery and labeling workflows including Object Detection.

IntermediateEnglishFrench

Labeling Experience

GIS & AI Data Annotation Platform Developer

Object Detection
I built a GIS and AI data annotation platform for object detection and segmentation tasks using high-resolution spatial imagery. My responsibilities included designing automated data pipelines and integrating spatial algorithms for data validation and annotation purposes. The labeled data contributed to the development of robust object detection models for geospatial applications. • Created annotation tools for identifying and tagging features within geospatial imagery. • Managed dataset preparation for training computer vision models on spatial data. • Implemented automated quality assurance checks to improve label consistency. • Used QGIS as the primary environment with internal/proprietary tooling.

I built a GIS and AI data annotation platform for object detection and segmentation tasks using high-resolution spatial imagery. My responsibilities included designing automated data pipelines and integrating spatial algorithms for data validation and annotation purposes. The labeled data contributed to the development of robust object detection models for geospatial applications. • Created annotation tools for identifying and tagging features within geospatial imagery. • Managed dataset preparation for training computer vision models on spatial data. • Implemented automated quality assurance checks to improve label consistency. • Used QGIS as the primary environment with internal/proprietary tooling.

2025 - Present

Education

U

Université Hassan II – Faculté des Sciences Aïn Chock

Master of Science, Geographic Information Systems and Land Management

Master of Science
2023 - 2025
U

Université Hassan II – Faculté des Sciences Aïn Chock

Bachelor of Science, Computer Science

Bachelor of Science
2019 - 2023

Work History

M

M. Design

Software & GIS Engineer

Tanger
2025 - Present
M

Mohammed VI Polytechnic University

Research Assistant – Geospatial & Remote Sensing

N/A
2024 - 2025