Cl C.

Key Skills

Software

Other

Top Subject Matter

Education Technology

Personalized Learning Systems

Speech Recognition

Top Data Types

Text

Audio

Video

Image

Top Task Types

Classification

Transcription

Segmentation

Freelancer Overview

AI-powered Personalized Learning Data Annotator and System Designer. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, 华南师范大学 (2027). AI-training focus includes data types such as Text, Audio, and Video and labeling workflows including Classification, Transcription, and Segmentation.

Labeling Experience

Video Annotation Specialist for Generative AI Product Demo

OtherVideoSegmentation

Researched and applied multi-modal understanding for immersive long video experiences, developing AI-driven segmentation and scenario tagging. Designed, annotated, and tested interaction entry points and narrative structures through frame-level and scene-level video labeling tailored to enhance user engagement. Engaged in validation and refinement of model-generated summaries, scene boundaries, and storyline branches to support generative AI tasks. • Labeled video content for interaction and parallel narrative discovery. • Segmented frames for character/object highlighting and event transitions. • Validated AI-generated subtitles and scene narrations as part of supervised learning. • Iteratively refined annotations based on generative model outputs and user testing.

2026 - 2026

Audio Data Transcription/Labeling Specialist for AI Language Platform

OtherAudioTranscription

Participated in developing an offline real-time foreign language translation platform, focusing on accurate speech-to-text conversion and translation. Curated and transcribed multi-language audio data using local ASR models, optimizing datasets for translation accuracy and system performance. Implemented labeling and verification procedures to ensure quality and consistency of audio transcription and translation data. • Handled data annotation for long-form audio segments using internal tools and Vosk ASR. • Established protocols for label verification and correction to improve speech model outcomes. • Managed multi-lingual labeled datasets for training and evaluation. • Enabled integration of labeled data into local translation pipelines for privacy-focused use cases.

2025 - 2026

AI-powered Personalized Learning Data Annotator and System Designer

TextClassification

Led the design and implementation of a personalized after-school practice system integrating big data and artificial intelligence for dynamic student profiling and targeted learning interventions. Utilized survey and behavioral features to model student stability, learning style, and knowledge mastery, automating knowledge point tracking and forgetfulness risk estimation for continuous profile updates. Oversaw the process of transforming student feedback and learning performance into labeled data for machine learning models to support tailored recommendations and diagnostics. • Built and maintained a closed-loop pipeline for student identification, exercise recommendations, and feedback. • Managed structured data annotation at the knowledge-point level for fine-grained learning analysis. • Generated classification and feedback labels from student responses for personalized diagnostic modeling. • Ensured data quality for downstream AI/ML algorithms on the MVP platform.

2025 - 2026

Education

Work History