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Emanuel Mushailov

Emanuel Mushailov

Senior AI Data Labeler: 4y exp in X-ray (EyeFox), OCR & Audio QA/Review.

Israel flagNesher, Israel
$22.00/hrExpertLabel StudioOtherInternal Proprietary Tooling

Key Skills

Software

Label StudioLabel Studio
Other
Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
ImageImage
TextText

Top Task Types

Action Recognition
Bounding Box
Object Detection
Polygon
Text Generation

Freelancer Overview

​Senior Data Annotation Specialist & Team Lead ​I am an experienced Data Annotation Specialist with 4 years of expertise in high-volume security datasets and linguistic tasks. My core competency lies in security X-ray analysis (threat detection of firearms, cold weapons, and explosives) and material discrimination, where I consistently processed over 40,000 images monthly. Additionally, I specialize in precise Hebrew audio transcription and OCR, handling approximately 500 files daily with exceptional speed and accuracy. ​Beyond technical execution, I have served as a Team Lead for a group of five annotators, responsible for onboarding new hires and overseeing Quality Assurance (QA). I possess the ability to maintain peak concentration during intensive 7-8 hour shifts and thrive in high-pressure environments, ensuring critical project deadlines are met without compromising data integrity.

ExpertHebrewEnglishRussian

Labeling Experience

Computer Vision Data Specialist (OCR & Polygon Segmentation)

Internal Proprietary ToolingImageBounding BoxPolygon
Executed high-precision, character-level annotation for Hebrew Optical Character Recognition (OCR) models. The role required drawing complex polygons to segment individual letters within high-density images containing thousands of characters. I focused on resolving edge cases such as overlapping text and low-resolution characters, ensuring pixel-perfect accuracy to establish high-quality Ground Truth for Computer Vision training.

Executed high-precision, character-level annotation for Hebrew Optical Character Recognition (OCR) models. The role required drawing complex polygons to segment individual letters within high-density images containing thousands of characters. I focused on resolving edge cases such as overlapping text and low-resolution characters, ensuring pixel-perfect accuracy to establish high-quality Ground Truth for Computer Vision training.

2025

AI Data Specialist (Audio & NLP)

Internal Proprietary ToolingAudioText Generation
Provided expert data services to enhance Automatic Speech Recognition (ASR) capabilities for Hebrew speakers. The role involved high-volume post-editing of AI-generated transcripts and manual transcription to establish accurate Ground Truth for model training. I consistently processed over 500 audio files daily, correcting syntax, grammar, and context errors to ensure high-quality training data for Natural Language Processing (NLP) algorithms.

Provided expert data services to enhance Automatic Speech Recognition (ASR) capabilities for Hebrew speakers. The role involved high-volume post-editing of AI-generated transcripts and manual transcription to establish accurate Ground Truth for model training. I consistently processed over 500 audio files daily, correcting syntax, grammar, and context errors to ensure high-quality training data for Natural Language Processing (NLP) algorithms.

2025 - 2025
Label Studio

Data Annotation Team Lead

Label StudioImageBounding BoxPolygon
Automated Threat Detection System (Neural Guard) Contributed to the development of an AI-powered security screening solution designed to automatically detect prohibited items in X-ray imagery. The project involved large-scale annotation of complex luggage scans to train Computer Vision models in identifying firearms, explosives, and cold weapons. As a Team Lead, I managed the data pipeline using the EyeFox platform, ensuring high-quality Ground Truth through rigorous QA and material discrimination analysis.

Automated Threat Detection System (Neural Guard) Contributed to the development of an AI-powered security screening solution designed to automatically detect prohibited items in X-ray imagery. The project involved large-scale annotation of complex luggage scans to train Computer Vision models in identifying firearms, explosives, and cold weapons. As a Team Lead, I managed the data pipeline using the EyeFox platform, ensuring high-quality Ground Truth through rigorous QA and material discrimination analysis.

2021 - 2025

Education

W

Wingate College

Bachelor's Degree in Physical Education, Physical Education

Bachelor's Degree in Physical Education
2023

Work History

F

Freelance- Onyx Project

Computer Vision Data Specialist (OCR & Polygon Segmentation)

Remote
2025 - Present
T

Tichon Makif Nesher

Physical Education & Homeroom Teacher

Nesher
2023 - Present