Adam Ramy

Key Skills

Software

AWS SageMaker

Clickworker

Data Annotation Tech

SuperAnnotate

Appen

Telus

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Image

Top Task Types

Action Recognition

Bounding Box

Computer Programming Coding

Data Collection

Object Detection

Freelancer Overview

I have extensive experience in data annotation across a wide range of projects and industries, making me highly proficient in preparing high-quality datasets for AI and machine learning models. My expertise includes image annotation (bounding boxes, polygons, semantic segmentation), text annotation (NER, sentiment analysis, intent detection, entity linking), audio annotation (speech tagging, transcription, speaker identification), and video annotation (object tracking, activity recognition, frame-by-frame labeling). I’ve worked with tools like Labelbox, CVAT, and VIA, and understand the importance of consistency, accuracy, and data privacy. I’m well-versed in annotating data for various domains including healthcare, automotive, e-commerce, and social media. My ability to follow complex guidelines and adapt to evolving requirements has helped deliver annotated datasets that meet high-quality standards. I’m also experienced in QA processes, task auditing, and team coordination to ensure annotation integrity at scale. Whether it’s training autonomous systems or building natural language understanding models, I bring deep practical knowledge, attention to detail, and a commitment to excellence in every project.

Labeling Experience

Data Annotator- English/Arabic

TelusTextTranslation Localization

In this role, I provided English to Arabic tutoring, helping learners improve their language skills through personalized lessons focused on grammar, vocabulary, pronunciation, reading comprehension, and conversational fluency, while also offering clear explanations and cultural context to ensure accurate translation and meaningful communication, ultimately supporting students in achieving their academic, professional, or personal language goals.

In this role, I provided English to Arabic tutoring, helping learners improve their language skills through personalized lessons focused on grammar, vocabulary, pronunciation, reading comprehension, and conversational fluency, while also offering clear explanations and cultural context to ensure accurate translation and meaningful communication, ultimately supporting students in achieving their academic, professional, or personal language goals.

2024

Data Entry

AppenTextText Generation

In this job, I was responsible for vehicle text detection and generation, where I accurately identified and labeled various types of text appearing on vehicles—such as license plates, brand logos, model names, and service markings—and also generated synthetic text data to simulate real-world scenarios, all aimed at creating high-quality datasets used to train and improve AI models for optical character recognition (OCR) and computer vision systems in the automotive domain.

In this job, I was responsible for vehicle text detection and generation, where I accurately identified and labeled various types of text appearing on vehicles—such as license plates, brand logos, model names, and service markings—and also generated synthetic text data to simulate real-world scenarios, all aimed at creating high-quality datasets used to train and improve AI models for optical character recognition (OCR) and computer vision systems in the automotive domain.

2022

Data Annotator

Data Annotation TechImageObject Detection

In this role, I performed object detection for pharmaceutical drugs by carefully identifying, labeling, and classifying various types of medication packaging—including tablets, capsules, blister packs, bottles, and boxes—ensuring precise annotation of brand names, dosages, barcodes, and visual markers, with the goal of training AI models to accurately recognize and distinguish between different drugs in real-world environments such as pharmacies, hospitals, and automated dispensing systems.

In this role, I performed object detection for pharmaceutical drugs by carefully identifying, labeling, and classifying various types of medication packaging—including tablets, capsules, blister packs, bottles, and boxes—ensuring precise annotation of brand names, dosages, barcodes, and visual markers, with the goal of training AI models to accurately recognize and distinguish between different drugs in real-world environments such as pharmacies, hospitals, and automated dispensing systems.

2023 - 2025

Education

Work History