Saef Wail

Key Skills

Software

Clickworker

Remotasks

Toloka

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Image

Top Task Types

Audio Recording

Bounding Box

Computer Programming Coding

Data Collection

Prompt Response Writing SFT

Freelancer Overview

I have hands-on experience in data labeling and AI training data preparation, working across image, text, and audio datasets. My tasks included annotating content with high accuracy, validating model outputs, and ensuring that labeled data aligned with project-specific guidelines. I’ve collaborated on projects involving search engine evaluation, sentiment analysis, and visual object recognition, which required keen attention to detail and consistency under tight deadlines. My background in UX/UI design and frontend development gives me a solid understanding of how machine learning systems interact with real users, enabling me to label data with both technical precision and user-focused logic. I am also experienced with tools like Labelbox, Appen, and custom labeling platforms, and I bring strong communication and self-management skills to remote, structured environments. My ability to balance speed and accuracy, along with a genuine interest in AI development, makes me a valuable contributor to training intelligent systems.

Labeling Experience

LiDAR 3D Object Annotation for Autonomous Vehicles

Scale AI3D SensorBounding Box

worked on high-precision 3D LiDAR annotation tasks involving labeling vehicles, pedestrians, and static objects in autonomous driving datasets. My responsibilities included placing accurate cuboids around objects in point cloud data, tracking object movement across frames, and classifying object types under various environmental conditions. The work required strict attention to depth accuracy, occlusion handling, and spatial awareness. I consistently met quality benchmarks and review standards, contributing to improved model performance in autonomous navigation systems. I also participated in quality control and internal peer review, helping maintain consistent annotation guidelines and team accuracy

worked on high-precision 3D LiDAR annotation tasks involving labeling vehicles, pedestrians, and static objects in autonomous driving datasets. My responsibilities included placing accurate cuboids around objects in point cloud data, tracking object movement across frames, and classifying object types under various environmental conditions. The work required strict attention to depth accuracy, occlusion handling, and spatial awareness. I consistently met quality benchmarks and review standards, contributing to improved model performance in autonomous navigation systems. I also participated in quality control and internal peer review, helping maintain consistent annotation guidelines and team accuracy

2023 - 2023

Education

Work History