Bryce飞

Key Skills

Software

Don't disclose

Other

CVAT

Top Subject Matter

Structured business/IT service data verification and dataset labeling

Medical/health information content structuring and taxonomy organization

Financial market pattern labeling for large-scale datasets

Top Data Types

Text

Video

Image

Top Task Types

Classification

Bounding Box

Segmentation

Entity (NER) Classification

Freelancer Overview

Data Entry & Verification Operator (data verification + labeling per schemas) — Zhengzhou IT Services. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Other, and Internal. Education includes High School Diploma, Yuzhou No.1 Senior High School (2006) and Certificate, WorldQuant BRAIN (2024). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Classification, Entity (NER), and Bounding Box.

Labeling Experience

Health Management Web Platform (content taxonomy organization) — Personal Project

OtherText

Organized and categorized health/medical content into structured taxonomies to support consistent retrieval and navigation. Operated a Linux-hosted web platform and managed content workflows for medical information organization. While not explicitly stated as model training, the work functioned as structured data preparation for downstream annotation and search use. • Built and maintained a health/medical consulting website • Organized content into structured taxonomies for consistency • Managed content via WordPress with SEO-focused organization • Prepared structured informational datasets by category

2025 - Present

Data Labeling & Annotation Specialist — WorldQuant BRAIN Platform

VideoClassification

Systematically labeled and categorized 1,000+ financial market data batches across multiple dimensions using consistent annotation criteria. Built and maintained labeling rubrics to ensure inter-batch consistency and achieved 99%+ accuracy verified through cross-validation. Conducted quality control reviews to correct edge cases and reduce rework by 30% through systematic batch workflows and error logging. • Labeled financial market patterns with multi-dimension attributes • Developed and applied labeling rubrics for consistent standards • Performed QC cross-validation and edge-case correction • Automated batch processing, format standardization, and error logging using pipelines

2024 - Present

Data Entry and Verification Operator - Zhengzhou IT Services

CVATImageBounding BoxSegmentation

Performed high-volume data entry and verification while ensuring 99%+ accuracy for daily workloads. Cross-checked submitted records against source documents and flagged discrepancies for correction. Organized and categorized structured datasets according to predefined labeling schemas and maintained audit-ready logs. • Entered large volumes of records while meeting daily throughput targets • Verified data quality by comparing with official source materials • Documented issues, resolutions, and quality metrics for auditing • Coordinated with QA to improve data entry guidelines and reduce error rates

2018 - 2020

Data Entry & Verification Operator (data verification + labeling per schemas) — Zhengzhou IT Services

Don't discloseClassification

Performed data entry and verification work by labeling and organizing records into predefined schemas with 99%+ accuracy. Cross-checked entered data against source documents, flagged discrepancies, and corrected issues to improve dataset reliability. Maintained detailed quality logs and worked with QA to enhance labeling guidelines over time. • Labeled structured datasets according to predefined labeling schemas • Verified 500+ records daily via source-document cross-checking • Flagged and corrected discrepancies to maintain 99%+ accuracy • Maintained audit trails of data quality issues and resolutions

2018 - 2020

Education

Work History