Raphael Idenyi

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Task Types

Point/Key Point

Entity (NER) Classification

Relationship

Evaluation/Rating

Freelancer Overview

I am an experienced AI Data Labeling and Evaluation Specialist with over three years supporting large-scale machine learning projects, particularly in computer vision and NLP domains. My work includes annotating complex datasets for autonomous driving, object detection, and text classification using tools like CVAT, Labelbox, Supervisely, Roboflow, and Appen. I am skilled in a wide range of annotation techniques—bounding boxes, polygons, segmentation, and 3D point cloud labeling with Amazon SageMaker Ground Truth. I consistently deliver high-quality, guideline-compliant annotations and conduct thorough QA reviews to ensure data accuracy. My strengths include strong attention to detail, effective remote collaboration, and clear communication with global teams, making me well-suited for remote and international AI training data roles.

Labeling Experience

AI Data Labeling & Model Evaluation Project

AppenImagePoint Key PointEntity Ner Classification

Performed high-accuracy data labeling and AI evaluation on the Appen platform, including image/video annotation, text classification, and content moderation, ensuring high-quality training data for machine learning models.

Performed high-accuracy data labeling and AI evaluation on the Appen platform, including image/video annotation, text classification, and content moderation, ensuring high-quality training data for machine learning models.

2021 - 2024

Education

Work History