Xuelin H.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Chinese-English content evaluation and text classification

Object localization via bounding-box annotation

Speech transcription and transcript formatting

Top Data Types

Text

Image

Audio

Top Task Types

Classification

Bounding Box

Transcription

Freelancer Overview

I have foundational experience in data annotation and AI training data tasks, including text classification, image bounding-box annotation, speech transcription, Chinese/English content evaluation, and ChatGPT response quality assessment. I can follow labeling guidelines, review content carefully, evaluate whether AI responses are accurate and instruction-following, and maintain consistency across annotation tasks. My strengths include a Computer Science background, native Chinese proficiency, and familiarity with tools such as Excel, ChatGPT, Labelbox, CVAT, Python, Notion, and Google Docs. I am especially well suited for Chinese AI training, bilingual text review, translation quality checks, and improving AI responses for Chinese-speaking users.

Labeling Experience

AI Data Annotation and Evaluation Practice (Academic/Self-directed) - Response evaluation and ranking

Text

Evaluated Chinese and English AI responses for relevance, clarity, and instruction-following quality. Assessed helpfulness and factual consistency to ensure responses match expected standards and constraints. Used structured comparison workflows to identify differences between outputs for quality review. • Rated relevance, clarity, and helpfulness • Checked instruction-following and constraints • Verified factual consistency and correctness • Compared responses using ChatGPT for quality evaluation

Present

AI Data Annotation and Evaluation Practice (Academic/Self-directed) - Speech transcription practice

Don't discloseAudioTranscription

Practiced speech transcription concepts by focusing on listening accuracy and producing readable transcripts. Reviewed punctuation to ensure the final text is clear and properly segmented. Applied formatting habits to improve usability of the transcript output. • Listened for spoken content accuracy • Reviewed punctuation and sentence structure • Reformatted transcripts for readability • Ensured clarity and consistency in transcription outputs

Present

AI Data Annotation and Evaluation Practice (Academic/Self-directed) - Image bounding-box annotation

OtherImageBounding Box

Performed image annotation using bounding boxes to identify and localize relevant objects within images. Focused on object coverage, boundary/edge accuracy, and clean labeling habits. Reviewed outputs to reduce omissions and improve label precision. • Labeled objects with bounding boxes • Ensured coverage of relevant regions • Improved edge accuracy and boundary placement • Maintained clean, guideline-compliant annotations

Present

AI Data Annotation and Evaluation Practice (Academic/Self-directed) - Text classification

Don't discloseTextClassification

Practiced text classification by reviewing prompt/content categories and selecting labels according to established guidelines. Conducted accuracy checks by verifying label consistency and reviewing potential errors before finalizing outputs. Applied detail-oriented quality control to maintain guideline adherence across iterations. • Reviewed content categories and labeling criteria • Applied guidelines consistently • Checked labels for accuracy and consistency • Performed error review and quality validation

Present

Education

Work History