Melih Durmaz

Key Skills

Software

Label Studio

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Label Types

Bounding Box

Classification

Object Detection

Point Key Point

Polygon

Segmentation

Text Generation

Translation Localization

Freelancer Overview

I am an experienced AI data annotation specialist with a background in both text and visual data labeling for machine learning. I have contributed to projects involving computer vision—such as automotive components and urban environments—using tools like Label Studio to perform high-precision annotation, classification, and segmentation (bounding boxes, polygons). My work includes annotating and validating large datasets to support AI model training, evaluating language model outputs for accuracy and bias, and collaborating closely with global teams to ensure data quality and consistency. My strong analytical skills, attention to detail, and experience with both NLP and computer vision tasks enable me to deliver reliable and high-quality training data for diverse AI applications.

Labeling Experience

AI DATA LABELING SPECIALIST

Label StudioImageBounding BoxPolygon

Performing high-precision data annotation and labeling using Label Studio for diverse computer vision projects, including automotive components and urban environments. Classifying and segmenting complex visual data (bounding boxes, polygons) to improve the accuracy of machine learning and object detection models. Ensuring 100% data quality and consistency by adhering to strict project guidelines and technical documentation. Collaborating with AI researchers to identify and resolve edge cases in visual datasets.

Performing high-precision data annotation and labeling using Label Studio for diverse computer vision projects, including automotive components and urban environments. Classifying and segmenting complex visual data (bounding boxes, polygons) to improve the accuracy of machine learning and object detection models. Ensuring 100% data quality and consistency by adhering to strict project guidelines and technical documentation. Collaborating with AI researchers to identify and resolve edge cases in visual datasets.

2025

AI DATA ANNOTATION SPECIALIST

CVATImageBounding BoxPolygon

• Annotated and labeled text-based data to support AI model training and evaluation. • Collected, organized, and managed high-quality datasets in line with project guidelines. • Reviewed and validated data to ensure accuracy, consistency, and compliance with quality standards. • Collaborated with a global team to meet project deadlines and maintain data precision. • Contributed to improving AI performance by providing feedback on annotation tools and processes.

• Annotated and labeled text-based data to support AI model training and evaluation. • Collected, organized, and managed high-quality datasets in line with project guidelines. • Reviewed and validated data to ensure accuracy, consistency, and compliance with quality standards. • Collaborated with a global team to meet project deadlines and maintain data precision. • Contributed to improving AI performance by providing feedback on annotation tools and processes.

2025 - 2025

Education

Work History