Perspectives form the frontier
Updates, insights and stories from the people building Pareto.
Annotation fatigue: Why human data quality declines over time
Learn how prolonged annotation tasks lead to fatigue, reduced data quality, and slower output, and discover research-backed strategies Pareto AI uses to keep annotators engaged.
Annotation fatigue: Why human data quality declines over time
Learn how prolonged annotation tasks lead to fatigue, reduced data quality, and slower output, and discover research-backed strategies Pareto AI uses to keep annotators engaged.
The consequences of ambiguity in data annotation rubrics
Ambiguous data annotation rubrics introduce noise, bias, and inconsistencies in AI training data. Learn expert-driven best practices to ensure high-quality labels.
The consequences of ambiguity in data annotation rubrics
Ambiguous data annotation rubrics introduce noise, bias, and inconsistencies in AI training data. Learn expert-driven best practices to ensure high-quality labels.
The micro-decisions made by AI trainers that define data quality
Discover how micro-decisions by AI trainers shape data quality, safety, and alignment in LLMs.
The micro-decisions made by AI trainers that define data quality
Discover how micro-decisions by AI trainers shape data quality, safety, and alignment in LLMs.
The false dichotomy of "synthetic data vs. human data"
We provide actionable strategies on how AI companies can effectively combine synthetic and human data to enhance model performance
The false dichotomy of "synthetic data vs. human data"
We provide actionable strategies on how AI companies can effectively combine synthetic and human data to enhance model performance
Behind the Data: Zachary Neeley
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.
Behind the Data: Zachary Neeley
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.
Designing Robust Human Studies for AI Safety Evaluations
A comprehensive guide to identifying vulnerabilities in AI models through systematic jailbreaking research, exploring methodologies, challenges, and potential defenses.
Designing Robust Human Studies for AI Safety Evaluations
A comprehensive guide to identifying vulnerabilities in AI models through systematic jailbreaking research, exploring methodologies, challenges, and potential defenses.
Data Annotation's Role in Shaping Ethical AI Governance Post-AGI
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.
Data Annotation's Role in Shaping Ethical AI Governance Post-AGI
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.
Data Annotation's Growing Appeal to PhDs and Scientists
It's time for academia to be recognized and compensated fairly for the invaluable knowledge and expertise these professionals bring to the table.
Data Annotation's Growing Appeal to PhDs and Scientists
It's time for academia to be recognized and compensated fairly for the invaluable knowledge and expertise these professionals bring to the table.
Behind the Data: Gilbert Kamau
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.
Behind the Data: Gilbert Kamau
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.
Preparing for the Future of Work: Adapting to Atomized Tasks
Discover how the future of work is evolving towards an atomized, purpose-driven model that emphasizes individual talents and specialized tasks.
Preparing for the Future of Work: Adapting to Atomized Tasks
Discover how the future of work is evolving towards an atomized, purpose-driven model that emphasizes individual talents and specialized tasks.