李子 少.

Key Skills

Software

Google Cloud Vertex AI

Humanatic

OpenCV AI Kit (OAK)

Top Subject Matter

General AI data labeling (images and text)

Image annotation (people, vehicles, roads)

Text content moderation and classification

Top Data Types

Image

Text

Top Task Types

Classification

Bounding Box

Freelancer Overview

Freelance Data Labeller. Core strengths include Excel. Education includes High School Diploma, XX学校 (2024). AI-training focus includes data types such as Image and Text and labeling workflows including Classification and Bounding Box.

Labeling Experience

Freelance Data Labeller

ImageClassification

Worked as a freelance data annotator, performing image classification, object bounding box annotation, and text correction tasks. Maintained high accuracy in data labeling and ensured efficient completion of assignments. Utilized Excel to organize and manage labeling output effectively. • Performed image classification and target bounding box annotation. • Conducted text correction for data quality improvement. • Maintained strict attention to detail and high labeling standards. • Organized annotation results using spreadsheet tools.

2024 - Present

Text Content Moderation Project Labeler

TextClassification

Worked on a text content moderation project, classifying and identifying sensitive content. Followed specified rules to filter and flag inappropriate or violating materials. Ensured accurate and consistent content tagging throughout the project period. • Conducted text classification and sensitive content identification. • Applied standard moderation guidelines to all dataset items. • Ensured rigorous review and flagging of problematic content. • Contributed to safe and compliant textual datasets.

2024 - 2025

AI Image Annotation Project Participant

ImageBounding Box

Participated in an AI image labeling project, annotating over 5000 images. Applied bounding boxes and classification to objects such as people, vehicles, and roads. Conducted quality control checks and made corrections according to annotation guidelines. • Labeled objects in images with bounding boxes and categories. • Ensured compliance with labeling standards and requirements. • Reviewed and corrected annotation errors meticulously. • Contributed to enhanced dataset quality for AI training.

2024 - 2024

Education

Work History