德李

Key Skills

Software

CVAT

Label Studio

Img Lab

Other

Top Subject Matter

数学 数学老师

游戏 游戏专家

电子商务 产品分类，产品运营与客户支持

Top Data Types

Image

Video

Text

Top Task Types

Bounding Box

Polygon

Object Detection

Text Summarization

Question Answering

Classification

Freelancer Overview

Data Annotator | Computer Science Background Professional Summary Detail-oriented professional with a Computer Science degree and months of hands-on experience in data annotation. Expert at balancing technical logic with artistic and mathematical precision to deliver high-quality ground truth data. Core Skills ● Annotation: 2D Image (Bounding Box/Polygon), Video tracking, Dialect/Audio labeling, and 3D Point Cloud processing. ● Technical: Strong CS foundation (Python); quick to learn new tools and follow complex project guidelines. ● Languages: English (Proficient), Chinese (Native). ● Domain Knowledge: Solid grasp of mathematics and digital art principles. ● VR Data Collection: Experienced in robotics data gathering (e.g., object manipulation, spatial scanning). ● Image & Video: Proficient in bounding box, polygon, and frame-by-frame labeling. ● Specialized Data: Dialect/audio labeling and 3D point cloud processing. ● Technical: Fast learner, detail-oriented, comfortable with technical workflows. Work Experience ● Data Annotator (Freelance) | [Recent Months] ○ Managed diverse annotation tasks including image, video, and dialect-specific audio data. ○ Maintained high accuracy in large-scale labeling, consistently meeting quality requirements for AI model training. ○ Utilized technical and artistic background to ensure precision in complex edge-case scenarios.

Labeling Experience

autonomous driving 自动驾驶数据标注

ImageBounding Box

Responsible for visual perception data annotation in autonomous driving scenarios. Performed high-precision 2D Bounding Box annotation on captured datasets using industry-standard platforms (CVAT, Label , Labelbox). Tasks included the identification and classification of vehicles, pedestrians, traffic signs, and lane markings in complex road environments. Adhered strictly to quality assurance protocols for perception model training, ensuring spatial and temporal consistency, which significantly improved the detection accuracy of autonomous driving models in edge-case scenarios.

2026 - 2026

VR robot motion capture

Geospatial Tiled ImageryData Collection

Responsible for high-precision motion data acquisition in VR environments. Utilized wearable motion capture systems to accurately record human behavior and movement trajectories during simulated tasks. Executed standardized motion capture workflows, including equipment calibration, recording of interaction movements (e.g., grasping, picking up objects, room scanning, etc.). Ensured the smoothness, authenticity, and completeness of motion data through precise execution, providing high-quality behavioral samples for digital human animation, action recognition model training, and virtual interaction algorithm development.

2025 - 2026

Education

Work History