Wirestock
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About
Wirestock serves as a bridge between a global community of over 700,000 creators and AI development teams. Its primary purpose is to provide high-quality, multimodal data—ranging from images and videos to vectors and music—necessary for training sophisticated generative AI models. By aggregating content from a vast network, the platform offers over 50 million assets, ensuring that AI researchers have access to a diverse and fresh stream of data that reflects real-world creativity and technical precision. The platform provides a scalable solution for companies that need high-volume, vetted training material without the legal risks of unsupervised web scraping. The platform functions through a dual-sided ecosystem where creators upload their work to be licensed, while AI teams browse or request specific datasets. Key features include expert curation, content review, and detailed annotation, which are critical for maintaining data cleanliness in machine learning. Beyond pre-made libraries like UGC video collections, high-speed videography, or dance clips, Wirestock allows for custom dataset creation. This means AI teams can define specific requirements, and Wirestock coordinates with its creator base to produce tailored content that meets exact training goals, providing a highly flexible pipeline for data acquisition. Wirestock is specifically designed for AI researchers, machine learning engineers, and data scientists who require massive volumes of high-fidelity data to refine their models. It is equally beneficial for creative professionals looking to monetize their portfolios through ethical AI licensing. Unlike many stock photo sites, Wirestock focuses heavily on the technical needs of AI training, offering features like model and property permission forms and consent-based licensing to ensure legal compliance. This makes it an essential resource for enterprise-level AI projects that prioritize sustainability and trust in their supply chains. What distinguishes Wirestock is its "Ethical by Design" philosophy. Every asset in their AI-ready library is licensed with the creator's full understanding of its use in AI training, and contributors are fairly compensated, with over $6 million already paid out. This transparency mitigates the risks of copyright infringement often associated with AI development. With new content sourced monthly and a global reach, it provides a sustainable and scalable alternative to static, web-scraped datasets, allowing developers to configure, review, and iterate on data specifications as their models evolve.
Pros & Cons
Provides access to over 50 million ethically sourced multimodal assets.
Offers custom dataset production tailored to specific AI training goals.
Ensures legal compliance through consent-based licensing and property permissions.
Supports a massive global network of 700,000+ creators for diverse content.
Delivers expertly curated and annotated data ready for immediate integration.
Pricing for datasets is not transparent and requires booking a demo.
Content quality depends on individual creator submissions which requires vetting.
Specific technical integration details for AI workflows are not publicly listed.
Use Cases
AI Research Teams can source thousands of specific dance or sports videos to train motion-recognition algorithms.
Generative AI Developers can access 9.5 million vector illustrations to improve the accuracy of text-to-vector models.
Machine Learning Engineers can request custom-made datasets for niche projects that are not available in standard libraries.
Content Creators can upload their portfolios to the platform to earn income through ethical AI licensing deals.
Video Production Houses can monetize unused b-roll footage by licensing it as UGC data for AI model training.
Platform
Features
• full data oversight and specification review
• ugc and real-life video sourcing
• dataset library with 50m+ assets
• global network of 700,000+ creators
• ethically sourced, consent-based licensing
• content review and expert annotation
• custom dataset creation and sourcing
• multimodal image and video datasets
FAQs
What kind of data does Wirestock provide for AI models?
Wirestock provides a wide range of multimodal data including images, videos, vectors, and music. These include specialized categories like high-speed videography, dance videos, and user-generated content (UGC).
Can Wirestock create custom datasets for specific project needs?
Yes, Wirestock works directly with AI teams to define specific needs and can produce custom content. They leverage their creator network to build datasets tailored to your specific training goals.
How does Wirestock collect data for AI model training?
Data is sourced from a global network of over 700,000 creators who voluntarily upload their content. Wirestock ensures all content is ethically sourced with proper consent and compensation for the contributors.
Is the data provided by Wirestock annotated?
Yes, Wirestock's content is expertly curated, reviewed, and annotated to ensure it is ready for machine learning. This process helps maintain the high data cleanliness required for effective model training.
How does Wirestock compensate its creators?
Creators understand how their work is utilized and are compensated when their assets are licensed for AI training. Wirestock has already paid out over $6 million to its global community of contributors.
Pricing Plans
Enterprise/AI Teams
Unknown Price• Custom dataset creation
• Bulk asset licensing
• Full data oversight
• Annotated datasets
• Expert curation
• Content review
• Ethically sourced data
Creator
Free Plan• Sell images and videos
• Access to AI tools
• Participate in challenges
• Portfolio management
• Sales tracking
• Monetize content via AI training
Job Opportunities
Freelance Brand Designer
Train generative AI models using ethically sourced, high-quality multimodal datasets including images, videos, and vectors from a global network of creators.
Experience Requirements:
Experience creating brand identities and brandbooks from scratch
Strong understanding of branding, visual identity systems, and design principles
Other Requirements:
Ability to translate abstract brand values into clear visual guidelines
High attention to detail and consistency
Ability to meet deadlines and deliver high-quality work
Proficiency with professional design tools (e.g. Figma, Adobe Illustrator, Photoshop, or similar)
Responsibilities:
Create brand identities from scratch
Develop complete brandbooks, including visual and usage guidelines
Design core branding elements such as logos, color palettes, typography systems, and visual styles
Create on-brand visual examples, such as marketing visuals, patterns, and branded assets
Ensure consistency and clarity across all brandbook elements
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Freelance Illustrator
Train generative AI models using ethically sourced, high-quality multimodal datasets including images, videos, and vectors from a global network of creators.
Experience Requirements:
Experience in illustration and visual storytelling
Strong understanding of composition and visual clarity
Other Requirements:
Ability to keep characters or objects consistent across multiple images
Attention to detail in proportions, style, and environment
Proficiency with digital illustration tools (e.g. Procreate, Illustrator, Photoshop, or similar)
Responsibilities:
Create original illustrated subjects
Apply a consistent visual style across multiple images
Place the same subject into different environments
Maintain subject identity, proportions, and design
Produce clean, readable illustrations suitable for production use
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Freelance Graphic Designer
Train generative AI models using ethically sourced, high-quality multimodal datasets including images, videos, and vectors from a global network of creators.
Experience Requirements:
Experience in graphic design and poster layout
Strong understanding of typography, color, and composition
Other Requirements:
Ability to create and maintain visual consistency across designs
High attention to detail and visual hierarchy
Ability to produce clean, professional design files
Proficiency with professional design tools (e.g. Adobe Illustrator, Photoshop, Figma, or similar)
Responsibilities:
Design original poster compositions from scratch
Work with typography, imagery, and graphic elements
Create consistent visual systems across multiple designs
Develop layout, color, and hierarchy variations
Ensure clarity, balance, and professional design quality
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