
Data annotation specialist
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Abdelkader Khatir has proven their skill set to Zinn Hub and provided evidence of their work. Every Verified Zinner passes a hands-on quality assurance review — so you can hire with confidence.
🛡️ Verified since September 2026
I am a detail-oriented Data Annotation Specialist with experience in computer vision, dataset structuring, and generative AI workflows. I have hands-on experience annotating 2D bounding boxes for vehicle detection using CVAT, and I have generated and validated COCO 1.0 JSON outputs for machine learning pipelines.
Professional Background
I hold a BTS in International Business from INSPF Tizi Ouzou, Algeria, and I am certified by Google Cloud and Microsoft in Generative AI, Large Language Models, and Responsible AI. My background in customer support and translation has given me exceptional attention to detail, accuracy, and strict guideline compliance — skills that are essential for high-quality data annotation.
Technical Skills
· Data Annotation and Labeling (2D bounding boxes, segmentation)
· CVAT (Computer Vision Annotation Tool)
· COCO 1.0 JSON format generation and validation
· Object Detection and Image Classification
· Quality Control and Dataset Validation
· Generative AI and Large Language Models (LLMs)
· AI Prompting and Content Generation
· Microsoft Excel and Google Workspace
· GitHub for version control and project management
Portfolio Highlights
I have created a complete vehicle detection dataset annotated in COCO 1.0 format using CVAT. This project demonstrates my ability to handle complex cases such as occlusion, background noise, and strict boundary alignment. The dataset is published on GitHub and is suitable for training computer vision models like YOLO or Faster R-CNN.
View my work: /khatirjuba-bot/Dataset_Vehicles_COCO
Languages
· Arabic: Native
· French: C2 (Proficient)
· English: B2-C1 (Upper-Intermediate to Fluent)
Why Work With Me?
I am reliable, self-directed, and capable of delivering consistent quality while meeting deadlines. I am comfortable with repetitive, focused work and iterative feedback. I am available for remote projects in data annotation, AI training, video annotation, and quality control.
I am committed to producing accurate, clean, and well-structured datasets that are ready for machine learning pipelines. Whether you need annotations for computer vision, natural language processing, or generative AI, I can deliver high-quality results that meet your project requirements.
I am available to start immediately and can adapt to your annotation guidelines and tools. Let's work together to bring your AI project to life
Technologies and expertise this freelancer specialises in.
Service areas this freelancer is available for.

Computer Vision dataset for vehicle detection. Annotated 2D bounding boxes using CVAT, generated COCO 1.0 JSON files for ML training. Handled occlusion, background noise, and boundary alignment.
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Computer Vision dataset for vehicle detection. Annotated 2D bounding boxes using CVAT, generated COCO 1.0 JSON files for ML training. Handled occlusion, background noise, and boundary alignment.
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