Ensure truthful and factually verified model output
Our data annotators continually evaluate LLM responses against trusted external resources. This ensures that the information provided remains accurate and up to date. It involves cross-referencing with reliable databases, publications, and official sources to maintain factuality across a wide range of topics.
Coding and Code Snippet-Checking
Our code experts review and verify code snippets provided by the LLM. This process ensures that any code-related responses are not only factually accurate but also free from errors or vulnerabilities that could mislead users or cause issues in practical applications.
Creating Custom Datasets
Our data curators create specialized datasets that cover obscure or niche topics. These datasets help the LLM provide objective, factually accurate responses to inquiries about less common subjects.
Pushback and Disclaimers for Fringe Beliefs
Our data evaluators equip LLMs to handle controversial or unsupported claims responsibly. Custom disclaimers and levels of pushback can be developed to inform users when they are interacting with fringe beliefs or theories lacking credibility
Impressions from our community
"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."
Founding Researcher @ Character.AI
Join hundreds of fast-growing teams who count on Pareto to ensure factuality and honesty in their language models.
Fine-tune models for factuality and honesty in various contexts
Eligibility criteria for IRS form filing
A user seeks information regarding their eligibility for filing IRS Form 990-N but receives a response that contains a critical error regarding the maximum combination of receipts and donor pledges for the 2022 filing year.
Expert annotator updates this information by identifying outdated model output. The limits for the 2022 filing year are $75,000 maximum combination of receipts and donor pledges, not $100,000. This is a critical error that needs to be adjusted.
- Provides a clear and accurate explanation of eligibility criteria for IRS Form 990-N filing.
- Avoids potential confusion for users regarding the maximum combination of receipts and donor pledges, ensuring they have reliable information for compliance.
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.
How long does it take to get set up with Pareto?+
Our team can have you up and running with Pareto in as little as 24 hours. Interested in getting started? Speak with our team!
Can I use Pareto 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 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 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 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 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?+
Pareto 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 support?+
Pareto 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.
Ensure factual accuracy for your models
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