Ahmed Sameer

Key Skills

Software

CVAT

Humanatic

Labelbox

Label Studio

Mighty AI

OneForma

Remotasks

Scale AI

Snorkel AI

Surge AI

Data Annotation Tech

Telus

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Action Recognition

Bounding Box

Classification

Computer Programming Coding

Text Generation

Freelancer Overview

I bring over 3 years of experience in data labeling and AI training, with a strong focus on mathematics, computer vision, and text annotation. I've contributed to high-impact projects with top companies such as Outlier, Appen, and Data Annotation Tech, consistently achieving outstanding results. Throughout my work, I maintained project accuracy rates above 94%, and received performance ratings of 4.3/5 or higher across multiple assignments. My expertise includes solving and labeling complex mathematical problems, annotating real-world images for object detection, and performing high-quality text classification tasks in both Arabic and English. My attention to detail, bilingual capability, and proven track record make me a reliable contributor to any AI data project.

Labeling Experience

Python Developer

Data Annotation TechComputer Code ProgrammingText GenerationGeocoding

As a Python Developer at Data Annotation Tech, I contributed to building and optimizing tools and scripts to streamline data labeling workflows for AI training projects. My responsibilities included developing automation scripts to process and validate large datasets, building custom annotation logic, and integrating labeling tools with APIs for platforms like Labelbox and Scale.

As a Python Developer at Data Annotation Tech, I contributed to building and optimizing tools and scripts to streamline data labeling workflows for AI training projects. My responsibilities included developing automation scripts to process and validate large datasets, building custom annotation logic, and integrating labeling tools with APIs for platforms like Labelbox and Scale.

2024

Mechanical Engineering Data Annotator

LabelboxImageQuestion AnsweringText Generation

At Labelbox, I worked on data annotation projects that required specialized mechanical engineering knowledge to support the development of AI systems in industrial and engineering applications. My role involved labeling technical diagrams, CAD drawings, and mechanical components in images and videos to train machine learning models for automated inspection, defect detection, and predictive maintenance.

At Labelbox, I worked on data annotation projects that required specialized mechanical engineering knowledge to support the development of AI systems in industrial and engineering applications. My role involved labeling technical diagrams, CAD drawings, and mechanical components in images and videos to train machine learning models for automated inspection, defect detection, and predictive maintenance.

2024

Bilingual Data Annotator (Arabic-English)

LabelboxTextBounding BoxSegmentation

As a bilingual data annotator at Labelbox, I worked on a variety of multilingual AI training projects involving both Arabic and English. My tasks included classifying and annotating text data, translating and validating prompts, and ensuring cultural and contextual accuracy in NLP datasets. I also participated in projects requiring image annotation where understanding bilingual labels and context was critical. My role required high attention to linguistic nuances and consistency across datasets, especially when dealing with sentiment analysis, entity recognition, and instruction-based LLM tasks. I was regularly assigned to quality assurance tasks, where I achieved accuracy scores above 98%, thanks to my strong command of both languages and deep understanding of regional dialects and terminology.

As a bilingual data annotator at Labelbox, I worked on a variety of multilingual AI training projects involving both Arabic and English. My tasks included classifying and annotating text data, translating and validating prompts, and ensuring cultural and contextual accuracy in NLP datasets. I also participated in projects requiring image annotation where understanding bilingual labels and context was critical. My role required high attention to linguistic nuances and consistency across datasets, especially when dealing with sentiment analysis, entity recognition, and instruction-based LLM tasks. I was regularly assigned to quality assurance tasks, where I achieved accuracy scores above 98%, thanks to my strong command of both languages and deep understanding of regional dialects and terminology.

2023

Audio Data Collector

TelusAudioPrompt Response Writing SFTAudio Recording

At TELUS International, I participated in audio data collection projects aimed at improving speech recognition systems and natural language processing models. My responsibilities included recording scripted and spontaneous speech in both Arabic and English, ensuring clarity, accuracy, and consistency in pronunciation and tone.

At TELUS International, I participated in audio data collection projects aimed at improving speech recognition systems and natural language processing models. My responsibilities included recording scripted and spontaneous speech in both Arabic and English, ensuring clarity, accuracy, and consistency in pronunciation and tone.

2024 - 2024

AI math Tutor

Scale AIImageClassificationQuestion Answering

As an AI Math Tutor at Scale AI, I was responsible for evaluating and improving large language models (LLMs) in solving complex mathematical problems across various subjects including algebra, calculus, and word problems. My tasks included verifying step-by-step solutions, annotating correct and incorrect reasoning, and crafting high-quality mathematical prompts to enhance model performance.

As an AI Math Tutor at Scale AI, I was responsible for evaluating and improving large language models (LLMs) in solving complex mathematical problems across various subjects including algebra, calculus, and word problems. My tasks included verifying step-by-step solutions, annotating correct and incorrect reasoning, and crafting high-quality mathematical prompts to enhance model performance.

2024 - 2024

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Education

Work History