Crowdsourcing marketplace
for AI data collection and annotation
Engage in simple online tasks as a freelancer for fixed fees or royalty. Participate in community projects, sharing the work and the earnings.
All in one platform.
Fairgrind is a revolutionary platform that connects AI developers with a global workforce of freelancers to collect, curate, label, and review data for AI training.
How Fairgrind works
1. Customers
Post your AI training project. Set the rules of the project. Choose from a wide pool of skilled Grinders with expertise in various fields.
2. Grinders
Browse projects and apply your skills. You can choose to be paid a fixed fee or participate in revenue sharing through AI model tokenization.
3. Collaboration
Grinders work on the project using Fairgrind’s tools and resources. Customers can monitor progress and communicate directly with Grinders.
4. Community
Grinders also get a share of Fairgrind’s success. A Fairgrind crypto token represents their stake in the Fair AI Training fees customers pay.
How Grinders make money
As a freelancer
Work on projects, complete simple tasks. You decide if you work for flat fees, or in royalty based projects, where you can have a stake in the future revenues of the AI product you trained.
As a digital enterpreneur
Join community projects, where you collaborate to build a data set or AI model, which can be marketed, and all participants will be shareholders in it.
As a member of our community
When you work on projects, bring in customers, help other Grinders, or spread the word about Fairgrind, you are building our common decentralized ecosystem. For this work, you will become a shareholder in the Fairgrind marketplace.
What is Fair AI Training?
Fair AI Training ensures ethical data collection and fair compensation for those who contribute to building AI models.
This approach tackles issues present in traditional methods, where data collection might lack proper consent or be biased, and workers crucial to the process are underpaid or excluded from sharing the success of the AI models they help create.
Fair AI Training is important because it reduces bias in AI models by using diverse and representative data, empowers individuals by treating Grinders as valued contributors who share in the rewards, and promotes responsible AI development by setting a higher standard for the industry, fostering trust and transparency.