Thrive together with collaborative AI training features
Take full command of your project’s parameters
Customize task types, use cases, data sources, required task attempts, review quantities, and more.
Create and test your annotation parameters with ease and precision
Easily establish your taxonomy using an intuitive visual editor or a JSON editor. Preview your annotation tasks to ensure the quality results you desire, and even craft an entrance test to select the most qualified candidates.
Find skilled AI trainers from the Fairgrind community
Tap into the expertise of skilled AI trainers from the Fairgrind community. Handpick trainers with specific skill sets or allow Grinders to apply to your project.
Select the payment method that best fits your project
You determine the payment rules. Whether it’s a fixed fee, a bidding process by Grinders, or a custom contract based on royalties, set the terms that suit your project. Fairgrind supports royalty based projects which tokenize the AI model in order to share future revenues.
Split your dataset for optimal AI training results
Effortlessly divide your dataset into multiple batches, and create trial batches to test your annotation parameters and instructions for optimum performance.
Benefits for AI project creators
Fairgrind is your gateway to access a diverse pool of AI talent.
Access top talent
Find and collaborate with skilled AI trainers from around the world for your projects.
Scale up with ease
Quickly expand your AI development capabilities by leveraging a diverse pool of trainers.
Cost-effective AI development
Significantly reduce initial AI development costs through AI model tokenization, by introducing a revenue share model..
Ethical AI model tokenization
Fairgrind’s approach fosters ethical AI and awards ‘Fair Training’ badges to dedicated developers.
FAQ for AI project creators
What is the cost structure of using Fairgrind?
Fairgrind offers a flexible cost structure, ensuring that you only pay for the services you use. Most cost components are based on a per-task basis, with each task representing an image, a piece of text, a sequence of video, or a combination of these.
Labeling:
Considering that various tasks require varying numbers of annotations, there is a per-task cost, a per-annotation fee, as well as a per-review fee to account for these differences.
Fair Training:
Fairgrind supports Fair AI Training, where every Grinder is rewarded for all projects. There is a Fair Training cost per task, which will be shared among individuals contributing to the success of Fairgrind.
Annotation tool:
If you utilize Fairgrind’s built-in annotation tools, it incurs a per-task cost. If you choose to use your own annotation solution, you’ll only need to cover the API cost to synchronize Grinders’ tasks from your system to Fairgrind.
What kind of AI trainings does Fairgrind support?
Fairgrind aims to incorporate a wide range of common data types, including images, text, and videos, as well as tasks related to Reinforcement Learning from Human Feedback (RLHF). In addition, we prioritize customization to offer a flexible environment for niche projects, which includes:
- Data collection from Grinders.
- Reviewing AI-generated data.
- Handling complex data classification involving multiple input data elements.
Are Grinders qualified for AI training tasks?
Fairgrind places significant emphasis on the training of Grinders to excel in all aspects of AI training and fine-tuning. In addition to offering online training materials and qualification tests, Fairgrind’s incentive structure fosters continuous improvement in the quality of work by Grinders.
To assist AI developers, the Grinder Qualification Score indicates each Grinder’s position in their professional development journey.
Fairgrind offers a flexible cost structure, ensuring that you only pay for the services you use. Most cost components are based on a per-task basis, with each task representing an image, a piece of text, a sequence of video, or a combination of these.
Labeling:
Considering that various tasks require varying numbers of annotations, there is a per-task cost, a per-annotation fee, as well as a per-review fee to account for these differences.
Fair Training:
Fairgrind supports Fair AI Training, where every Grinder is rewarded for all projects. There is a Fair Training cost per task, which will be shared among individuals contributing to the success of Fairgrind.
Annotation tool:
If you utilize Fairgrind’s built-in annotation tools, it incurs a per-task cost. If you choose to use your own annotation solution, you’ll only need to cover the API cost to synchronize Grinders’ tasks from your system to Fairgrind.
Fairgrind aims to incorporate a wide range of common data types, including images, text, and videos, as well as tasks related to Reinforcement Learning from Human Feedback (RLHF). In addition, we prioritize customization to offer a flexible environment for niche projects, which includes:
- Data collection from Grinders.
- Reviewing AI-generated data.
- Handling complex data classification involving multiple input data elements.
Fairgrind places significant emphasis on the training of Grinders to excel in all aspects of AI training and fine-tuning. In addition to offering online training materials and qualification tests, Fairgrind’s incentive structure fosters continuous improvement in the quality of work by Grinders.
To assist AI developers, the Grinder Qualification Score indicates each Grinder’s position in their professional development journey.