Ali Esmaeili

Key Skills

Software

CVAT

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Image

Text

Video

Top Label Types

Action Recognition

Audio Recording

Computer Programming Coding

Data Collection

Emotion Recognition

Land Cover Classification

Mapping

Object Detection

Question Answering

Text Generation

Text Summarization

Transcription

Freelancer Overview

I have a strong background in computer engineering with a focus on software engineering and artificial intelligence, gained through my academic studies and active involvement in robotics and AI-related activities. My experience includes working with Python, SQL, C++, and C#, as well as using Git for version control, which has equipped me with the technical skills necessary for data labeling and AI training data projects. I am highly proficient in English and Persian, and my freelance work as a translator and content writer has strengthened my attention to detail and ability to handle large volumes of text data—skills that are essential for natural language processing and annotation tasks. I am a collaborative team player with strong critical thinking abilities, and I am eager to contribute to data-driven projects in fields such as computer vision and NLP.

Labeling Experience

Autonomous Vehicle Bounding Box Annotation

CVATImageBounding Box

Annotated thousands of street-level images to train self-driving car algorithms. Tasks included drawing precise 2D bounding boxes around pedestrians, vehicles, traffic lights, and road signs. Managed a dataset of over 5,000 images and consistently maintained a 98% accuracy rate according to project QA standards.

Annotated thousands of street-level images to train self-driving car algorithms. Tasks included drawing precise 2D bounding boxes around pedestrians, vehicles, traffic lights, and road signs. Managed a dataset of over 5,000 images and consistently maintained a 98% accuracy rate according to project QA standards.

2025 - 2025

Manufacturing Defect Detection

Scale AIImageBounding Box

Identified and annotated surface defects on manufactured mechanical parts, such as scratches, micro-fractures, and dents. Labeled high-resolution factory imagery for automated quality assurance models, processing approximately 500 images per week with a 99% precision rate.

Identified and annotated surface defects on manufactured mechanical parts, such as scratches, micro-fractures, and dents. Labeled high-resolution factory imagery for automated quality assurance models, processing approximately 500 images per week with a 99% precision rate.

2024 - 2024

Education

Work History