陈天牧

Key Skills

Software

Labelbox

Top Subject Matter

Text Classification

Content Evaluation

Sentiment Analysis

Top Data Types

Text

Top Task Types

Classification

Freelancer Overview

I have approximately two years of experience in data annotation and AI training data evaluation, with a strong focus on accuracy, consistency, and guideline compliance. My work involves handling structured and semi-structured datasets, performing content evaluation, and applying rule-based decision-making across high-volume tasks. I am highly experienced in interpreting complex annotation guidelines and maintaining consistency across diverse data scenarios. In addition, I have worked on tasks such as text classification, sentiment analysis, and content relevance evaluation, supported by systematic quality assurance processes. I have developed strong capabilities in identifying edge cases, ensuring data integrity, and optimizing annotation efficiency over time. With a background in Internet of Things Engineering, I bring a solid analytical foundation and a disciplined approach to AI data training workflows.

Labeling Experience

AI Data Annotation & Evaluation Specialist

TextClassification

Performed large-scale text annotation tasks focused on classification, sentiment analysis, and content relevance evaluation for AI training datasets. Applied detailed annotation guidelines to ensure high accuracy and consistency across diverse data scenarios. Conducted quality assurance (QA) processes, identifying inconsistencies and resolving edge cases to improve overall data reliability. Demonstrated strong ability in rule-based decision-making, guideline interpretation, and maintaining performance across high-volume annotation tasks. Continuously improved annotation efficiency and consistency through iterative practice, contributing to high-quality training data aligned with AI model requirements.

2023 - 2025

Education

Work History