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丁国荣

丁国荣

Data Labeler, Beijing AI Data Services Co., Ltd.

China flag甘肃, China

Key Skills

Software

Label StudioLabel Studio
CVATCVAT

Top Subject Matter

General AI training/datatype annotation
General Computer Vision / NLP annotation
Autonomous driving image data

Top Data Types

ImageImage
TextText
AudioAudio
DocumentDocument

Top Task Types

Object DetectionObject Detection
SegmentationSegmentation
Bounding BoxBounding Box
ClassificationClassification
TranscriptionTranscription

Freelancer Overview

Data Labeler, Beijing AI Data Services Co., Ltd.. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio and CVAT. Education includes Bachelor of Engineering, China University of Petroleum (East China) (2018). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Object Detection, Segmentation, and Bounding Box.

Labeling Experience

Label Studio

Project: Audio Transcription Project - Audio Annotation

Label StudioLabel StudioAudioAudioTranscriptionTranscription

In this current project, I transcribe speech and perform speaker diarization for various audio datasets. I focus on creating highly accurate transcripts to support AI model training requirements. Close attention is paid to detail and annotation standards in all labeling tasks. • Use Label Studio for transcription and diarization labeling • Maintain transcript quality under tight deadlines • Support audio data preprocessing and postprocessing • Collaborate with team members for efficient workflow

2019 - Present
Label Studio

Project: Customer Review Analysis - Text Annotation

Label StudioLabel StudioTextTextClassificationClassification

I conducted text sentiment classification and topic tagging for customer review datasets. Responsibilities included classifying review sentiment polarity and tagging topics to prepare training data for NLP models. Quality control and adherence to labeling standards were key for this project. • Labeled sentiment and topics using Label Studio and Excel • Maintained annotation accuracy and consistency • Assisted in training and quality control • Facilitated NLP model improvement through quality data

2024 - 2024
Label Studio

Project: E-commerce Product Dataset - Image Classification

Label StudioLabel StudioImageImageClassificationClassification

I worked on an e-commerce product image classification project, focusing on labeling product categories and attributes. This role required consistent annotation and knowledge of e-commerce domain data. I also verified and cleaned up labeled data to support model accuracy. • Used Label Studio and Excel as main labeling tools • Maintained category and attribute labeling consistency • Handled product domain-specific data • Supported data quality audits for the dataset

2023 - 2023
CVAT

Project: Autonomous Driving Dataset - Image Annotation

CVATCVATImageImageBounding BoxBounding Box

I participated in the annotation of autonomous driving image datasets focusing on 3D bounding box, lane line, traffic sign, and object tracking tasks. The work required attention to detail and an understanding of commonly used labeling standards for autonomous systems. My role included managing project workflow and ensuring completion within deadlines. • Used CVAT and Labelbox for high-quality annotations • Applied labeling standards for driving data • Coordinated with teams for data validation and error correction • Contributed to efficient project delivery

2023 - 2023
Label Studio

Data Labeler (Part-time), Freelance / Remote

Label StudioLabel StudioImageImageSegmentationSegmentation

As a part-time freelance data labeler, I handled data labeling for computer vision and NLP projects. Key responsibilities were performing image segmentation, bounding box, text classification, and sentiment analysis under tight deadlines. I ensured high accuracy and efficiency while collaborating remotely with project managers for requirement clarification. • Managed multiple annotation types (segmentation, bounding box, text classification, sentiment analysis) • Maintained consistency in annotation quality • Used tools like Label Studio, CVAT, Labelbox, and Excel • Communicated effectively to streamline annotation efficiency

2022 - 2023

Education

C

China University of Petroleum (East China)

Bachelor of Engineering, Chemical Engineering and Technology

Bachelor of Engineering
2014 - 2018

Work History

B

Beijing Technology

Front-End Developer

Beijing
2021 - Present
B

Beijing E-Commerce

E-Commerce Operations Specialist

Beijing
2019 - 2021