Data classification and indexing

With an in-depth understanding of categorization techniques and linguistic nuances, our data labelers train your LLM to accurately classify information across different forms of media with expert feedback.

Classify and categorize data with 100% accuracy

Enhanced data organization

Whether it is images, audio, video, text snippets, or long output, our expert labelers train LLMs to categorize and structure vast datasets efficiently. This not only facilitates easier data retrieval but also enables your LLM to access relevant information quickly, enhancing its overall performance.

Improved natural language understanding

Accurate data classification aids LLMs in understanding the nuances of language. By categorizing text based on context, intent, or topic, the model gains the ability to generate more contextually relevant and meaningful responses in a wide range of applications.

Domain-specific knowledge integration

Our data classification services allow LLMs to integrate domain-specific knowledge effectively. By categorizing data into specific domains or industries, you can tailor the model to provide more accurate and industry-relevant information, making it a valuable asset in specialized fields.

Data indexing

Our expert labelers perform essential indexing of your data, enabling your LLM to efficiently retrieve contextually relevant information, improving both user experience and model performance.

Reviews from early adopters


"We had a novel task that we needed to complete on a short time scale. The Pareto team worked very closely with us to onboard, disambiguate, and scale up for fast task completion. We're continuing to work with the same pool of high quality raters for our newer tasks."

Prajit Ramachandran, Founding Researcher

Prajit Ramachandran

Founding Researcher @ Character.AI

Join hundreds of fast-growing teams who count on Pareto to ensure factuality and honesty in their language models.

Classify data across media types

Image classification

Representation of a UI with a simplified example of how AI is trained in image classification


A company needs to train its LLM to accurately identify whether an image contains a sports field or not. The model is prone to misclassifying visual assets, leading to unreliable output.


Human data labelers, well-versed in image classification, are employed to categorize images based on the presence of a sports field. Their expertise ensures precise and consistent classification results, improving the LLM's capacity to work with categorized image data.


  • Accuracy: Human data labelers provide consistent and accurate image classification results, minimizing errors.
  • Efficiency: By offloading the classification task to experts, the process becomes more efficient, saving time and resources.
  • Scalability: Human data labelers can effectively handle large image datasets, making the approach highly scalable.
  • Resource optimization: This approach optimizes the use of in-house human resources for more complex tasks.
  • Consistency: Ensuring uniform classification results across the image dataset enhances overall data quality.

Text classification

Representation of a UI with a simplified example of how AI is trained in text classification


Manual classification of restaurant menu items based on their descriptions can be time-consuming, error-prone, and challenging to maintain consistency.


Proficient human data labelers specializing in text classification are engaged to categorize restaurant menu items based on their descriptions. Their expertise ensures accurate categorization, enhancing the organization of menu items.


  • Consistency: Expert human data labelers maintain a consistent approach to text classification, reducing discrepancies and errors.
  • Efficiency: By leveraging experts, the process of categorizing menu items is streamlined, saving time and resources.
  • Customization: Human labelers can adapt to specific restaurant needs, creating categories tailored to the menu's unique items.
  • Improved user experience: Well-organized menus enhance the customer ordering experience, leading to increased satisfaction.

How it works


Describe your project

We help you develop clear project guidelines, determine the ideal evaluation team, and set a cost-effective hourly rate to fit your timeline


Match with top evaluators

We assemble your team same-day from our vetted network. If you have unique needs, we can find the right experts in just 3–5 days


Project managed & quality assured

We support data evaluators to deliver the highest quality data with paid trials, expert review and feedback, gold standard items, and more QA techniques

Built by and for a new generation of data workers

The infrastructure behind human data collection is antiquated. We’ve joined forces with seasoned data labelers, annotators, prompt engineers, and crowdwork researchers to redefine the relationship between workers and requesters.

Pareto operates on the principles of equitable compensation, collaborative management, and expert evaluation and feedback. Our mission is to empower talented and diverse professionals worldwide to contribute to AI training.

Enterprise-grade scale and quality

Fully managed service

Our project managers are just a Slack message or email away.

24/7 Global support

Our distributed team of experts offer assistance around the clock.


Up-front and transparent pricing tailored to your project requirements.

Common Questions

How long does it take to get set up with Pareto.AI?


Our team can have you up and running with Pareto.AI in as little as 24 hours. Interested in getting started? Speak with our team!

Can I use Pareto.AI for a one-time project, or do I need to commit to a long-term contract?


You do not need to commit to a long-term contract. Pareto.AI offers cost-effective and on-demand pricing. Fair hourly rates are set based on the expertise and skills of the workforce you need.

What measures does Pareto.AI take to ensure work quality?


We create precise guidelines and cost estimates upfront. Your project manager reviews project timelines, costs, and success criteria with you before each batch of tasks to ensure results that meet or surpass your expectations.

Does Pareto.AI offer post-project support?


Absolutely. Your project manager remains accessible to assist with any inquiries or issues that may arise following the project's completion. Should any outcomes fall short of your project's requirements, inform us within a five-day period after submission, and we'll either revise the work or provide a credit refund.

Can Pareto.AI assist with international projects outside the US?


Pareto collaborates with companies worldwide, adapting to different time zones and team requirements. We have experience in handling international projects with ease. Our data experts are distributed across the globe, ensuring uninterrupted and reliable service around the clock.

How experienced is the team at Pareto.AI?


Pareto.AI boasts an elite network of prompt engineers, annotators, and evaluators with expertise in finance, healthcare, engineering, and more. We also recruit, train, and upskill people from all walks of life, striving to create a rewarding career in data work for anyone with the right ambition.

What types of projects can Pareto.AI support?


Pareto.AI is adept at handling a diverse array of manual, data-centric tasks and operations for AI companies. From fine-tuning LLM's with human feedback to data curation and labeling, we do it all. Just share your objectives with us, and we'll customize our AI-driven workflows to suit your specific requirements.

Fine-tune your LLMs with expert data

Explore other use cases

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Get ready to join forces!

Already set up? Message your project manager.

By continuing, you agree to receive communications from Pareto and authorize us to process your personal information in compliance with our privacy policy.

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