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Data Labeling Specialist (dataset construction, annotation guidelines, labeling QA)

China flagChengdu, China

Key Skills

Software

No software listed

Top Subject Matter

Industrial time-series / network-related production and forecasting datasets

Top Data Types

TextText

Top Task Types

ClassificationClassification

Freelancer Overview

Data Labeling Specialist (dataset construction, annotation guidelines, labeling QA). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, Southwest Petroleum University (2025) and Bachelor of Engineering, Southwest Petroleum University (2022). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Data Labeling Specialist - N/A

ClassificationClassification

You served as a Data Labeling Specialist, participating in dataset construction and supporting the development of annotation guidelines and classification standards. You handled sample labeling and conducted secondary sampling inspections with ongoing quality assurance to maintain dataset reliability. You also performed raw data preprocessing activities to prepare clean data suitable for machine learning model training. • Participated in creating annotation guidelines, classification standards, and sample judgment rules • Led sample labeling, secondary sampling inspection, and full-scale quality assurance • Tracked labeling error rates and organized targeted reviews and corrections • Completed raw data preprocessing such as missing-value handling, denoising, and sample splitting

2025 - 2026

Data Labeling Specialist (dataset construction, annotation guidelines, labeling QA)

TextTextClassificationClassification

I served as a Data Labeling Specialist, participating in dataset construction and developing annotation guidelines and classification standards. I led sample labeling with secondary sampling inspection and full-scale quality assurance to reduce labeling errors. I also prepared high-quality datasets by completing required raw data preprocessing steps for machine learning training. • Defined labeling boundaries, common pitfalls, and sample judgment rules • Tracked labeling error rates and organized targeted reviews and corrections • Ran missing-value handling, denoising, and sample splitting for dataset readiness • Produced regular quality inspection reports and labeling progress metrics

2025 - 2026

Education

S

Southwest Petroleum University

Master of Science, Network and Information Security

Master of Science
2022 - 2025
S

Southwest Petroleum University

Bachelor of Engineering, Electronic and Computer Engineering

Bachelor of Engineering
2018 - 2022

Work History

N

N/A

Data Labeling Specialist

Chengdu
2025 - 2026