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Adrian Villanueva

Adrian Villanueva

Civil Engineering

PHILIPPINES flag
Gen. Mariano Alvarez, Philippines
$7.00/hrEntry LevelData Annotation Tech

Key Skills

Software

Data Annotation TechData Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Top Label Types

Bounding Box
Polygon
Segmentation
Cuboid
Mapping

Freelancer Overview

I have hands-on experience in AI training data and data labeling through my work on Remotasks as a LiDAR Annotator. In this role, I was responsible for accurately annotating 3D point cloud data, including object detection, segmentation, and classification, while following strict project guidelines and quality standards. I consistently ensured high accuracy, attention to detail, and compliance with task requirements to support the development and improvement of machine learning models. What sets me apart is my strong ability to quickly adapt to new tools, task types, and project instructions, along with my commitment to delivering high-quality work under tight deadlines. I am detail-oriented, reliable, and comfortable working on complex annotation tasks that require precision and consistency. My experience collaborating within structured workflows and meeting quality benchmarks has prepared me to contribute effectively to AI training projects and support scalable, high-performing models.

Entry LevelEnglishTagalog

Labeling Experience

Scale AI

3D LIDAR ANNOTATOR

Scale AI3D SensorBounding BoxPolygon
Annotated LiDAR 3D point-cloud data for AI and autonomous perception models Created and adjusted precise 3D bounding boxes for objects (vehicles, pedestrians, cyclists, etc.) Performed object classification and segmentation following Bee project guidelines Ensured high accuracy, spatial consistency, and strict quality control standards Reviewed annotations to maintain dataset reliability and model performance

Annotated LiDAR 3D point-cloud data for AI and autonomous perception models Created and adjusted precise 3D bounding boxes for objects (vehicles, pedestrians, cyclists, etc.) Performed object classification and segmentation following Bee project guidelines Ensured high accuracy, spatial consistency, and strict quality control standards Reviewed annotations to maintain dataset reliability and model performance

2019

Education

U

University Of Perpetual Help Jonelta

Licensed Civil Engineer, Civil Engineering

Licensed Civil Engineer
2023 - 2023
U

University Of Perpetual Help Jonelta

Bachelor of Science in Civil Engineering, Civil Engineering

Bachelor of Science in Civil Engineering
2017 - 2022

Work History

P

Philippine National Railways

Engineer I

Cavite
2024 - Present
D

DOTec Engineering

Junior Structural Engineer

Cavite
2023 - 2024