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D
Danzeng L.

Danzeng L.

AI Data Labeling / Model Evaluation Candidate — Annotation QA, intent classification, and evaluation

China flagTianjin, China

Key Skills

Software

Don't disclose

Top Subject Matter

AI annotation QA for structured business workflows (orders, reservations, documents, admin systems)
Structured business data labeling for retail POS workflows
Status labeling and operational monitoring data QA for reservations

Top Data Types

TextText
DocumentDocument

Top Task Types

ClassificationClassification
TrackingTracking

Freelancer Overview

AI Data Labeling / Model Evaluation Candidate — Annotation QA, intent classification, and evaluation. Professional background includes roles such as Workflow QA / Business Data Reviewer and Reservation Operations QA Specialist. Core strengths include Internal, Proprietary Tooling, and Don't disclose. Education includes Bachelor of Science, Tianjin University. AI-training focus includes data types such as Text and Document and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Data Labeling / Model Evaluation Candidate — Annotation QA, intent classification, and evaluation

TextText

Performed annotation QA and model response evaluation by reviewing AI outputs for relevance and completeness. Applied consistent labeling guidelines for intent classification and business workflow understanding. Documented edge cases and uncertain items for later review with clear evidence. • Reviewed structured records for clarity, completeness, and factual consistency • Classified ambiguous user intent and task/business scenario • Tracked workflow status and logged uncertain cases for evaluation • Wrote Chinese-English edge case notes and evaluation reports

2024 - Present

Enterprise WaterMark Tool — Document Review, Visual QA & Processing States

Don't discloseDocumentDocument

Performed document review and visual QA for processed PDF outputs to ensure labeling-quality consistency. Checked formatting and output rules using preview, configuration, history, and export states. Logged processing states and validated that document outputs matched review criteria. • Reviewed document output quality using real-time preview • Validated style/configuration impacts on exports • Checked consistency against rule-based review criteria • Monitored processing/export states and recorded issues

2023 - 2023

TT Esports Seat Reservation System — Status Labeling & Operational Monitoring

Don't discloseTextTextClassificationClassification

Labeled seat reservation and operational status states for consistent event data. Built consistent reservation, order, member, and admin views by translating venue operations into standardized status categories. Performed quality review aligned with scenario tags and status labeling requirements. • Defined and applied seat/reservation state categories • Verified reservation records, orders, and member-related data consistency • Ensured admin views matched labeled operational states • Improved label reliability via monitoring-oriented QA

2023 - 2023

Anonymous Retail POS System — Structured Business Data & Workflow QA (annotation/label QA)

Don't discloseTextTextClassificationClassification

Converted retail POS operations into structured categories to support intent and task classification. Labeled and verified field definitions, status transitions, permissions, and operational edge cases. Ensured consistency of structured labels across product, order, member, checkout, and admin workflow views. • Organized store operations into structured workflow categories • Checked status transitions and permission-related scenarios • Identified edge cases to improve downstream classification quality • Supported guideline-following for repetitive labeling tasks

2023 - 2023

Reservation Operations QA Specialist - TT Esports Seat Reservation System

DocumentDocumentTrackingTracking

Supported seat reservation operations QA by labeling and monitoring event-related status information within a seat reservation system. Converted venue operations into consistent seat states and reservation record structures for use in admin views and tracking. Focused on scenario tagging and quality checks to ensure data relevance, completeness, and correct operational status categorization. • Translated operational concepts into standardized seat and reservation states • Reviewed reservation records, orders, and member views for consistency across scenarios • Checked event monitoring panel outputs for correctness and completeness • Documented status categories and quality issues for resolution and review

Not specified

Education

T

Tianjin University

Bachelor of Science, Computer Science

Bachelor of Science
Not specified

Work History

E

Enterprise WaterMark Tool

Document Processing QA / Workflow Builder

Tianjin
Not specified
T

TT Esports Seat Reservation System

Reservation Operations QA Specialist

Tianjin
Not specified