Pareto.AI

Frontier models need frontier minds. Check out our new brand experience at www.pareto.ai :))

Frontier models need frontier minds. Check out our new brand experience at www.pareto.ai :))

Last week at Pareto.AI, we hosted an RL Researcher Roundtable and dove into the practical challenges of training RL agents in production, with invaluable insights from our panelists - Danielle Perszyk (Cognitive Scientist @ Amazon AGI), Alex Gajewski (founded SF Compute), and Kyle Vedder (Researcher @ Dyna Robotics). Researchers from Physical Intelligence, x.AI, Google DeepMind, Meta SuperIntelligence Labs, UC Berkeley, and more joined the discussion. Thanks Sylvia Tong and Cai Chen for collaborating on this. At Pareto.AI, we’re building a tight, high-signal community of AI researchers and domain experts in fields ranging from molecular biology to law - united in advancing the frontiers of AGI. If you’d like to join us at future sessions, please keep an eye for future events on our  Luma calendar here: https://luma.com/pareto.ai :))

A week in the Philippines with our Pareto community - a powerful reminder that the future of work is borderless, human-first, and deeply connected. What happens when brilliant minds from Chile, India, Kenya, South Africa, the USA, the Philippines, Spain, and Colombia come together? You get eight countries, four continents, and one unstoppable force of energy, curiosity, and heart. Our offsite wasn’t just a gathering; it was a living example of our core belief: that work should amplify our humanity, not replace it. From strategy huddles to karaoke nights, every moment reflected the Pareto DNA - connection, co-creation, and pushing for excellence together. As we grow and shape what’s next, these shared experiences remind us why we’re here: to build a world where experts, operators, and dreamers can do their best work - no matter where they’re from. Here’s a glimpse into the spirit that powers us forward. #paretoai #futureofwork #humaneintelligence #aiforhumans

**WARNING ABOUT SCAM ATTEMPTS: Any email or message from a Pareto.AI employee would come from an official *****@pareto.ai email address. If you receive an email from someone pretending to be me or a Pareto.AI employee please double check that the message comes from the correct pareto.ai suffix** Dear friends and others in my network: It enrages me that I have to make this notice, but there are scammers out there pretending to be me or another member of Pareto.AI. While we are actively recruiting for all kinds of project work opportunities all across the globe, there are people out there fraudulently attempting to scam you. Please double check the email address of any messages being sent to you that it comes from an official pareto.ai email.

We’re thrilled to welcome Ray Phelps as our new Data Delivery Lead at Pareto! Ray brings a wealth of experience from their time as a Data Scientist at the NYC Campaign Finance Board, where they analyzed campaign finance data to help reduce the influence of money in local elections. Their expertise in public sector analytics and AI-driven research has already been invaluable to our data operations team. Ray first joined Pareto as an AI trainer, quickly connecting with our mission to shape AI’s societal impact by ensuring human insight guides the development of ethical and aligned AI systems. In their new role, they remain dedicated to advancing this vision, and we're proud to have such a passionate and driven leader on our team. Welcome aboard, Ray! 🚀

A reputed AI lab needed high-stakes evaluation data—precise, instruction-sensitive, and scalable. For months, they relied on Pareto.AI to deliver it. But when budget pressures mounted, they switched to a cheaper vendor—a startup pivoting into data labeling—that promised the same throughput at a lower cost. What they got instead was a disaster. 1. No QA process: Errors went unchecked, corrupting evaluation benchmarks. 2. Speed over quality: Speed is important, but not at the cost of quality! Even though throughput goals were met, labelers failed to follow instructions. 3. No alignment mechanisms: Without structured feedback loops, errors compounded. The results? Months of wasted effort, unreliable model outputs, and research gridlock. When the cost of poor data became unbearable, they came back to Pareto. Our expert-led workflows, multi-layered quality controls, and continuous alignment systems gave them what no cut-rate vendor could: high-quality data that accelerates AI research *reliably.* The best labs in the world don’t gamble with quality. They choose Pareto. Read more in our latest blog below 🚀