Jie L.

Key Skills

Software

Other

Top Subject Matter

AI and Prompt Engineering

Top Data Types

Text

Image

Video

Top Task Types

Prompt + Response Writing (SFT)

Classification

Freelancer Overview

AI Training and Prompt Engineering Specialist. Core strengths include Other. AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT).

Labeling Experience

Prompt Engineer - AI Image Generation Prompt Optimization

ImagePrompt + Response Writing (SFT)

Within the scope of the personal image optimization project, I was responsible for the design and follow-up optimization of prompt instructions for batch AI-generated product images. I iteratively tested and revised prompts, systematically compiling error cases and producing a template library for recurring tasks. My prompt optimization improved generation efficiency, reduced error rates, and consolidated best practices for creative consistency. • Conducted more than 300 prompt adjustments across image generation batches. • Designed 15 error-prone prompt templates for failure mitigation. • Reduced erroneous generations from 28% to 9%, improving deliverable efficiency. • Raised overall visual coherence of generated product series by 45%.

2025 - Present

Owner - AI Image Data Optimization Project

ImageClassification

As project owner of the AI Image Data Optimization initiative, I performed multi-dimensional screening, labeling, and quality optimization on AI-generated product and model images. I established new image quality assessment standards and improved labeling accuracy across over 8000 images, achieving near-98% labeling precision. My efforts focused on creating robust label taxonomies, developing error identification frameworks, and optimizing prompt usage. • Evaluated 12,000+ AI-generated images, filtering out 2,300 failing quality standards. • Labeled and classified more than 8,000 images, maintaining a 97.5% label accuracy rate. • Created error identification and consistency validation systems, boosting output stability. • Devised and iteratively refined prompt templates for batch resonance with product needs.

2025 - Present

AI Content Service Provider - Text Data Labeling and Template Optimization

TextClassification

In my AI content services, I completed and maintained high-quality text labeling tasks for prompt templates and other generated written content. I systematically classified, reviewed, and optimized over 1500 annotated text entries, ensuring semantic correctness and compliance. My responsibilities included building and refining tagging structures, as well as manual and automated error inspection processes. • Classified and labeled 1500+ text entries, achieving over 98% labeling accuracy. • Built and organized a prompt template library for multiple product categories. • Enhanced content labeling workflows for compliance, consistency, and quality. • Reduced annotation workload through better label structure reuse and error reduction.

2024 - Present

Independent AI Content Service Provider - Image Data Labeling and Process Optimization

ImageClassification

As an independent AI content service provider, I participated in multiple AI model labeling and testing projects, delivering high-accuracy labeling results. I performed over 2000 image labeling tasks and contributed to establishing structured labeling systems to improve quality and efficiency. My work included prompt optimization and the development of AI content audit processes for compliance and quality assurance. • Delivered and optimized more than 300 sets of visual AI-generated product and model images for e-commerce clients. • Developed and organized over 1200 image and text label templates, improving label reuse rates by 30%. • Executed large-scale labeling projects, maintaining an accuracy above 98% and a content error rate below 1%. • Designed multi-layer auto-review data pipelines, reducing average generation iterations from 8 to 3.

2024 - Present

Prompt Audit Specialist - AI Video Prompt Consistency Evaluation

TextPrompt + Response Writing (SFT)

During the video content test audit, I conducted consistency evaluations and prompt-performance mapping for AI-generated scripts and resulting videos. I labeled over 500 prompt-script pairs, documenting accuracy, mismatch cases, and quality risks. My findings were integral to model fine-tuning and prompt audit report compilation. • Evaluated over 500 prompt-script-to-video pairs for coherence and prompt structure optimization. • Identified and documented 280 mismatches or deviation cases for target correction. • Formulated and refined three high-validity prompt structural frameworks. • Synthesized audit findings into actionable model improvement suggestions, most of which informed subsequent updates.

2025 - 2025

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Education

Work History