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S
Samah

Samah

AI Data Annotator

Tunisia flagNabeul, Tunisia

Key Skills

Software

Other
Internal/Proprietary Tooling

Top Subject Matter

Military-related data classification and AI training datasets
Administrative datasets for analytics and reporting

Top Data Types

TextText
Geospatial Tiled ImageryGeospatial Tiled Imagery
AudioAudio

Top Task Types

ClassificationClassification
Data CollectionData Collection
Bounding BoxBounding Box
SegmentationSegmentation
Object DetectionObject Detection
TranscriptionTranscription

Freelancer Overview

AI Data Annotator (Freelance) at CNTXT AI — I have hands on experience in AI training data, transcription, speech labeling, and image annotation projects. My background includes transcribing audio with high accuracy, labeling speech data for AI and voice recognition systems, and performing quality checks to ensure consistency and precision. I have worked with multilingual and audio-based datasets, following detailed annotation guidelines while maintaining strong attention to detail and meeting project deadlines. In addition, I have experience in geolocation and military image labeling tasks, where I analyzed and annotated satellite or aerial imagery to identify locations, objects, and relevant patterns for AI training purposes. These projects required strong analytical skills, accuracy, confidentiality, and the ability to handle complex datasets. What sets me apart is my adaptability, reliability, and ability to quickly learn new annotation tools and workflows while consistently delivering high quality results in remote AI training environments.

Labeling Experience

AI Data Annotator (Freelance) at CNTXT AI — Remote (Jan 2026 - Now)

OtherGeospatial Tiled ImageryGeospatial Tiled ImageryBounding BoxBounding Box

Annotated and validated datasets for AI and machine learning projects with a focus on classification-related tasks, including military-related data classification. Performed strict data review and quality assurance to ensure labeled outputs met project and security requirements. Supported dataset preparation for model training through cleaning and structuring labeled data. • Maintained annotation consistency using project guidelines • Reviewed and validated labeled samples for quality • Prepared cleaned/structured datasets for training pipelines • Followed security standards for sensitive dataset handling

2026 - Present

Education

F

Faculty of Economic Sciences and Management of Nabeul

Bachelor’s Degree, Applied Computer Science for Management

Bachelor’s Degree
2010 - 2013
I

INCO Academy

Certificate, Digital Sustainability and Green Practices

Certificate
Not specified

Work History

E

EMTN – École des Métiers Techniques de Nabeul

Data Analyst

Nabeul
2024 - 2025