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Featured Articles
How We Develop Standardized Protocols for Data Labeling Projects
Character.AI Joins Forces with Pareto.AI to Improve Conversational AI Models
Should You Pay Per Task or By Hour? Optimizing Worker Productivity for High-Quality Data
Reinforcement Learning from Human Feedback: Everything You Need to Know
Equitable Pay for All: Understanding Geographic Wage Disparity in Remote Work
The Future of Crowd Work: Q&A with Dr. Mark Whiting
Last month, we had a candid conversation with Zachary Neeley, a political science tutor who transformed from a skeptical outsider to a passionate AI trainer.
A comprehensive guide to identifying vulnerabilities in AI models through systematic jailbreaking research, exploring methodologies, challenges, and potential defenses.
As we move closer to AGI, the standards we establish today in data annotation—fair wages, worker rights, diversity, and transparent practices—will influence the ethical boundaries of tomorrow’s AI systems.
Say hi to Gilbert Kamau—a data scientist and dedicated AI trainer whose journey from actuarial science to cutting-edge AI work at Pareto is packed with insights.
Welcome to our "Behind the Data" series, where we delve into engaging discussions with our top data annotators. This series shines a spotlight on the individuals who play a pivotal role in the development and training of AI.
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