Wayne W.

Key Skills

Software

Label Studio

CVAT

Other

Top Subject Matter

General Natural Language Content

General Images & Visual Content

LLM/AI Model Response Evaluation

Top Data Types

Text

Image

Top Task Types

Classification

Segmentation

Bounding Box

Polygon

Entity (NER) Classification

Point/Key Point

Polyline

Cuboid

Object Detection

Text Generation

Question Answering

Text Summarization

RLHF

Freelancer Overview

Data Labeling Specialist - Text Annotation. Brings 20+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio, CVAT, and Other. Education includes Bachelor of Engineering, Shanghai University (2006). AI-training focus includes data types such as Text and Image and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Data Labeling Specialist - Model Response Evaluation

OtherText

In this role, I evaluated AI model responses through helpfulness, accuracy, instruction following, completeness, and language quality criteria. I performed bilingual (Chinese and English) review for both model outputs and guideline interpretation. My work contributed to ongoing improvements in AI model reliability and training feedback cycles. • Scored model-generated answers for various quality metrics • Checked responses for accuracy, completeness, and adherence to instructions • Provided constructive commentary and suggested improvements • Carefully documented ambiguous or problematic examples for further review

2022 - Present

Data Labeling Specialist - Image Classification & OCR Review

CVATImageClassification

I performed image classification and visual content review for AI model training and quality control. Responsibilities included object/category checks, visual quality-control comments, and supporting OCR validation projects. Maintained detailed notes and flagged ambiguous or unclear cases for team review. • Classified objects and categories in images and performed quality control • Reviewed visual content for guideline adherence and raised edge cases • Assisted with OCR correction by comparing image and extracted text • Documented audit-ready results and maintained detailed feedback logs

2022 - Present

Data Labeling Specialist - Text Annotation

Label StudioTextClassification

As a Data Labeling Specialist, I worked extensively with Chinese and English text data for annotation and AI training. Tasks included labeling for topic classification, intent detection, sentiment analysis, relevance judgment, and safety-related review. Diligently followed annotation guidelines and provided quality feedback to improve project output. • Labeled diverse text content for classification, intent, sentiment, and policy review • Ensured data consistency and flagged unclear or edge cases for review • Communicated feedback to improve labeling standards • Maintained organized documentation and reflected reviewer feedback promptly

2022 - Present

Education

Work History