AI, LLM Training, and Operations Efficiency

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The Future of Crowd Work: Q&A with Dr. Mark Whiting

Dive deep into an important conversation around challenges in the current crowd work ecosystem, worker incentive design, and the future of crowd work with Dr. Mark Whiting.

Equitable Pay for All: Understanding Geographic Wage Disparity in Remote Work

Join us as we seek equitable solutions for compensation in a globally connected workforce. We discuss why it's not always a straightforward "yes" or "no" answer and explore ways to find a fair balance.

Should You Pay Per Task or By Hour? Optimizing Worker Productivity for High-Quality Data

Expert labelers favor payment per task over hourly wages for high-quality data annotation despite published research. Gain insights into the contrasting influence of pay-per-task and hourly wage compensation structures for data labeler productivity.

Understanding Human-in-the-Loop (HITL) in Machine Learning

Human-in-the-loop (HITL) is an approach that combines human expertise with AI capabilities at various stages of development. It's a collaborative approach where humans provide input, validate outputs, and refine AI models. This collaboration ensures better accuracy, adaptability, and ethical considerations in AI systems.