Ii L.

Key Skills

Software

LabelImg

CVAT

Other

Top Subject Matter

General Computer Vision

Natural Language Processing

Automatic Speech Recognition

Top Data Types

Image

Text

Audio

Top Task Types

Bounding Box

Entity (NER) Classification

Transcription

Freelancer Overview

AI Data Annotator at Guangdong Haida Data Co., Ltd.. Core strengths include LabelImg, Labelme, and CVAT. Education includes Bachelor's Degree, Guangzhou Huashang College (2022). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Entity (NER) Classification, and Transcription.

Labeling Experience

AI Data Annotator at Guangdong Haida Data Co., Ltd.

TextEntity (NER) Classification

I participated in the annotation and cleaning of large-scale text dialogue datasets, with a focus on intent annotation and correction for NLP model training. This involved reviewing and classifying corpus entries to ensure proper labeling, accuracy, and adherence to updated annotation standards. I communicated closely with the algorithm team to clarify ambiguous samples and contributed to optimizing ambiguous clauses in the annotation guidelines. • Processed and labeled tens of thousands of text samples for intent classification. • Used Baidu Intelligent Cloud Annotation Platform and internal tools for text annotation. • Helped optimize annotation standards and improve data consistency. • Supported the delivery of high-quality labeled data for NLP projects.

2023 - Present

AI Data Annotator at Guangdong Haida Data Co., Ltd.

LabelImgImageBounding Box

I performed large-scale image data annotation using 2D/3D bounding boxes and semantic segmentation techniques for AI model training projects. My responsibilities included strictly following project annotation guidelines, consistently achieving high quality inspection pass rates, and collaborating closely with the algorithm team to resolve ambiguous cases. I also provided support to quality inspection colleagues by performing spot-checks and error corrections to reduce the team's overall rework rate. • Annotated thousands of image samples each month, maintaining high efficiency and accuracy. • Used tools such as LabelImg, Labelme, CVAT, Baidu Intelligent Cloud Annotation Platform, and BasicFinder. • Communicated annotation standard optimizations for improved guideline clarity. • Ensured datasets met the requirements for AI training and model development.

2023 - Present

Data Annotation Intern at Shenzhen Juhe Technology Co., Ltd.

AudioTranscription

I independently transcribed and annotated thousands of speech data entries for a major dataset, focusing on accurate ASR transcription, audio segmentation, and noise labeling. My work ensured that audio files met strict annotation standards necessary for speech recognition model training. I further processed results using Excel to convert and export files in required formats for downstream tasks. • Completed extensive audio dataset labeling for ASR and segmentation. • Followed audio annotation rules and quality benchmarks consistently. • Exported and verified transcription results in JSON/CSV format. • Contributed to reliable, high-quality labeled speech datasets.

2022 - 2022

Education

Work History