With 10 years experience leading complex data annotation projects, I offer an analytical and consultative approach to clients. I create frameworks to select best-in-class teams and workflows to deliver generative AI projects at scale. Sigma offers multiple clean rooms to protect data privacy, expertise in 600 languages and dialects, and the ability to run hundreds of concurrent projects. The massive shift from simple data labeling for AI to creational work by human annotators for gen AI requires an entirely new skill set to ensure quality, accuracy, and unbiased results. I lead research projects to identify key human skills, ranging from creativity to domain expertise, to deliver the new capabilities that are essential for generative AI, including summarization, paraphrasing, non-linear and creative thinking, and nuanced cultural context. At Sigma, we apply these findings to better select our workforce, evaluate and audit their performance, and to hone their skills for new projects. Please contact me to learn more about:• Selecting the right human annotators for generative AI projects, based on their academics, domain expertise, cultural context, diverse backgrounds, and linguistic capabilities.• Evaluating generative AI data annotation project results, including frameworks and metrics to score accuracy, quality, creativity, bias or balance, clarity, and writing sophistication.• Enhancing human skill sets for gen AI data annotation tasks, such as increasing their capacity for non-linear thinking, creative approaches, and synthesis of complex information.Sigma’s commitment to our people — human annotators who value the continuity of long-term projects and the opportunity to acquire new skills — enables us to attract and retain the best talent pool from 100+ countries worldwide. We are also deeply committed to the principles of ethical AI and corporate social responsibility, a hallmark of the Sigma platform.
