For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
X
Xu R.

Xu R.

Data Annotation Specialist at Chongqing Xinjieyun Technology Co., Ltd.

China flagChongqing, China

Key Skills

Software

Other

Top Subject Matter

Chinese-English NLP
LLM prompt response
content quality

Top Data Types

TextText
DocumentDocument
AudioAudio
ImageImage

Top Task Types

ClassificationClassification
TranscriptionTranscription

Freelancer Overview

Data Annotation Specialist at Chongqing Xinjieyun Technology Co., Ltd.. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor's Degree, N/A. AI-training focus includes data types such as Text, Document, and Audio and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Freelance AI Data Trainer / LLM Evaluation Contributor

OtherTextText

Worked as a freelance AI Data Trainer, evaluating AI model responses for accuracy, helpfulness, safety, and instruction-following. Compared multiple LLM-generated outputs, performed RLHF ranking, and identified linguistic issues including hallucinations and incorrect formats. Used GPT tools to enhance the evaluation workflow and ensure detailed, high-quality feedback. • Side-by-side LLM response and RLHF ranking tasks • Prompt writing and evaluation for varied domains (tourism, business, translation, etc.) • Issue detection for hallucinations, irrelevance, or factual errors • Workflow managed via GPT tools and collaborative documents

2023 - Present

Image and Visual Data QA Annotator

ImageImageClassificationClassification

Supported image and video data annotation workflows by classifying objects, scenes, and verifying categories. Checked visual data for clarity, duplication, and consistency, flagging unclear images or mismatched labels. Maintained image labeling standards to help train robust computer vision models. • Object and scene category classification in visual datasets • Bounding-box and frame-level review for image and video QA • Identification and flagging of duplicates or inconsistent labels • Used proprietary/internal annotation platforms for delivery

2023 - 2023

Speech Transcript and ASR Review Annotator

AudioAudioTranscriptionTranscription

Reviewed automated ASR speech transcripts for segmentation, punctuation, and recognition accuracy. Checked transcript text against original speech content and performed corrections for unclear or incorrectly labeled samples. Ensured adherence to linguistic guidelines and improved the overall quality of training audio data. • Transcript review and sentence boundary checking • Correction of obvious audio/text mismatches in ASR output • Punctuation and formatting cleanup for clarity in AI training data • Quality review via internal annotation workflows

2023 - 2023

OCR / Document Data Verification Specialist

DocumentDocumentClassificationClassification

Conducted OCR and document annotation by checking extracted text against source images and correcting errors. Verified fields such as names, locations, numbers, and categories to ensure high-quality structured data. Performed formatting corrections and data cleaning for AI training pipelines. • Field-level verification and error correction for OCR outputs • Formatting correction in structured document datasets • Quality reviews for accuracy and guideline compliance • Annotations delivered using internal tools and spreadsheets

2023 - 2023

Data Annotation Specialist at Chongqing Xinjieyun Technology Co., Ltd.

TextTextClassificationClassification

Served as a Data Annotation Specialist focused on labeling, reviewing, and correcting text-based datasets for AI model training. Performed classification tasks such as intent, topic, sentiment, and quality assessment across various NLP and LLM annotation projects. Maintained labeling consistency and accuracy by adhering to detailed guidelines and applying feedback. • Text annotation including topic, intent, sentiment, and content quality classification • Entity recognition, keyword extraction, and prompt/response evaluation for NLP datasets • Data quality assurance through duplicate/error checks and guideline reviews • Delivered annotations via internal/proprietary tools and spreadsheets

2023 - 2023

Education

中南林业科技大学

学士学位, CFA金融学

学士学位
2021 - 2025
N

N/A

Bachelor's Degree, Language and Communication

Bachelor's Degree
Not specified

Work History

C

Cultural Tourism Projects

AI Application Implementation Support Specialist

Chongqing
2020 - 2022