Illuminate

Key Skills

Software

CVAT

Label Studio

Top Subject Matter

Image Annotation Quality Control

Educational AI Data Annotation

Operational Data Annotation Quality

Top Data Types

Image

Text

Top Task Types

Classification

Freelancer Overview

AI Product Engineer, 51Talk — AI Efficiency Center. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Label Studio, and Internal. Education includes Bachelor of Science, N/A (2017). AI-training focus includes data types such as Image and Text and labeling workflows including Classification.

Labeling Experience

AI Product Engineer, 51Talk — AI Efficiency Center

CVATImageClassification

Served as the lead for quality control reviews of image annotations, systematically identifying and correcting inaccurate or missing labels in large-scale computer vision datasets. Developed and maintained a Python-based data classification pipeline to improve annotation precision and align data outputs to business requirements. Authored annotation quality guidelines and review checklists to standardize labeling workflows across teams. • Led detailed reviews of auto-generated image labels, ensuring strict accuracy and completeness. • Designed AI training programs and annotation best practices, adopted by over 500 learners. • Configured annotation quality standards and iterative validation processes with cross-functional input. • Used CVAT and Label Studio extensively for annotation tasks and workflow management.

2023 - Present

AI Product Manager, TAL Education

Label StudioImageClassification

Managed data annotation quality pipelines for educational AI products, developing and enforcing labeling standards across large, annotated datasets. Established systematic review and validation workflows to reduce annotation errors and increase output consistency for AI model training. Facilitated collaboration between annotation, engineering, and data science teams for quality benchmarking and process improvement. • Defined quality standards for image labeling and directed annotation error reviews. • Built data validation workflows to improve annotation consistency and reduce errors. • Coordinated feedback and benchmarking between annotation teams and model developers. • Leveraged CVAT and Label Studio platforms for annotation and review processes.

2021 - 2023

Product Operations Specialist, Meituan

CVATImageClassification

Oversaw large-scale data quality audits and systematic annotation reviews for operational datasets, with a focus on consistency and standardized classification frameworks. Implemented standard operating procedures for reviewing data accuracy and correcting misclassified or inconsistently labeled entries. Collaborated with distributed teams to uphold high annotation and data integrity standards. • Executed quality audits and error correction on annotated image data. • Built review pipelines to ensure data consistency across workflows. • Developed documentation and SOPs for reliable annotation review. • Worked closely with cross-functional teams to standardize labeling practices.

2019 - 2021

Product Operations Analyst, Baidu

TextClassification

Conducted quality assurance and annotation guideline refinement for content and data classification outputs supporting AI search and content models. Systematically reviewed annotations, flagged errors, and ensured data alignment with internal quality standards. Provided structured feedback to product and engineering teams to continuously improve annotation protocols. • Performed detailed QA reviews for content classification labels. • Helped refine annotation guidelines for improved label accuracy. • Supported AI teams through structured annotation feedback processes. • Collaborated in maintaining data quality for search-related datasets.

2017 - 2019

Education

Work History