Ran P.

Key Skills

Software

No software listed

Top Subject Matter

AI training data annotation (text classification and image labeling)

Quality assurance processes supporting AI training/data annotation workflows

Data-driven quality supervision and compliance tracking (non-AI labeling)

Top Data Types

Text

Image

Document

Top Task Types

Classification

Freelancer Overview

Data Annotator (Part-time) performing text classification & image annotation with QA and quality inspection. Brings 15+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Bachelor, Hubei University of Technology (2011). AI-training focus includes data types such as Text and Image and labeling workflows including Classification, Entity (NER), and Evaluation.

Labeling Experience

Data Annotator (Part-time) performing text classification & image annotation with QA and quality inspection

TextClassification

Performs guideline-based multi-type annotation across text classification and image labeling while processing approximately 200 items per day. Conducts cross-validation and quality inspection to detect deviations, then provides corrective feedback and rework as needed. Maintains strong documentation discipline for traceability and continuous quality improvement. • Follows project labeling guidelines and quality standards. • Keeps rework rate below 3% through QA and consistency checks. • Analyzes annotation outputs in Excel to ensure complete and accurate records. • Creates standardized reference memos summarizing common errors to improve onboarding efficiency.

2025 - Present

Project Manager focused on quality systems and training that improve data/annotation quality processes

TextClassification

Supports AI/data-quality related work indirectly through quality systems, closed-loop corrective mechanisms, and standardized SOPs that ensure consistent execution of data and quality processes. Develops and delivers technical training materials to help non-technical stakeholders follow quality requirements and improve cross-team collaboration. Contributes to early-warning and corrective workflows that improve acceptance outcomes. • Developed quality defect early-warning and closed-loop corrective mechanisms. • Delivered technical training sessions and materials to non-technical teams. • Created standardized management SOPs for consistent execution. • Oversaw quality standard implementation aligned with process-driven acceptance targets.

2018 - 2025

Engineering Manager with quality supervision and data-driven ledger management

Text

Manages quality standards implementation and full-process quality supervision, ensuring compliance with established plans and construction standards. Uses data-driven ledgers to support precision management and maintain quality oversight. While not specifically described as AI labeling, the role emphasizes structured data quality tracking and compliance monitoring. • Oversaw quality standard implementation and quality supervision. • Monitored compliance with standards and plans. • Built data-driven ledger systems for precision management. • Coordinated processes to achieve provincial quality awards.

2011 - 2018

Education

Work History