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Silei L.

Silei L.

Chinese / Mandarin AI Trainer, LLM evaluator, response quality reviewer, and prompt reviewer

China flagGuangzhou, China

Key Skills

Software

No software listed

Top Subject Matter

Chinese-language LLM evaluation and response quality review
Multimodal quality evaluation for AI-generated short-form videos and cultural content

Top Data Types

TextText
VideoVideo
ImageImage

Top Task Types

Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

Chinese / Mandarin AI Trainer, LLM evaluator, response quality reviewer, and prompt reviewer. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include ChatGPT, Gemini, and DeepSeek. AI-training focus includes data types such as Text and Video and labeling workflows including Evaluation, Rating, and Named Entity Recognition.

Labeling Experience

AIGC/NewMedia/E-commerce Instructor and Enterprise Mentor (multimodal evaluation and training)

VideoVideo

Performed AI-assisted multimodal quality evaluation for short-form video outputs, focusing on coherence and content stability. Reviewed generated visuals and transitions against cultural and stylistic rules for Chinese media tasks. Established review criteria that could be reused in training for consistent quality outcomes. • Assessed transition smoothness and continuity across shots • Checked subject stability and visual coherence • Evaluated subtitle placement and BGM/audio balance • Determined overall quality using rubric-based scoring

2023 - Present

Chinese / Mandarin AI Trainer, LLM evaluator, response quality reviewer, and prompt reviewer

TextText

Provided LLM response comparison and prompt reviews to assess quality and correctness for Chinese-language outputs. Applied rubric-based evaluation to judge AI-generated text quality and consistency with target requirements. Produced detailed feedback and teachable guidelines for improving prompts and responses. • Rated response quality and identified failure modes • Compared multiple model outputs for best-response selection • Reviewed prompt adherence and guideline compliance • Converted evaluation findings into training rubrics

2023 - Present

New Media & AI Instructor and Enterprise Mentor - Guangzhou Railway Polytechnic

VideoVideoEntity (NER) ClassificationEntity (NER) Classification

Provided hands-on instruction on practical AI, new media, and e-commerce content creation to vocational learners. Designed and delivered lesson plans, workflow demonstrations, and assessment standards aligned with course objectives. Ensured students could apply prompt workflows and production methods to practical projects using classroom materials and guided evaluation. • Delivered courses such as AI Cross-border Content Creation Practice and Short-form Video Production and Marketing • Developed practical teaching materials and AI-assisted project tasks • Conducted student output review and rubric-based assessment • Integrated workflow demonstration and classroom delivery to improve learning outcomes.

2023 - 2024

Education

G

Guangzhou Railway Polytechnic, Guangdong Baiyun University, Guangzhou Vocational and Technical University of Science and

Regularly teaches practical AI and new media courses

Regularly teaches practical AI and new media courses
Not specified

Work History

G

Guangzhou Railway Polytechnic

New Media & AI Instructor and Enterprise Mentor

Guangzhou
2023 - 2024
G

Guangdong Baiyun University

AIGC/New Media Instructor

Guangzhou
2022 - 2024