Discover the critical role of human data in shaping advanced AI systems in “Training AI with Human Data, Explained for Annotators.” Designed for beginners, this mini-course provides a comprehensive overview of what it means to work as an AI Annotator or Trainer, guiding you through the essential processes of fine-tuning AI models.

You’ll learn how to evaluate, compare, and improve AI responses using practical methods like Supervised Fine Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF). Explore the history and evolution of data annotation, from labeling images to refining conversational AI, and gain insights into how your work directly impacts the development of smarter, more reliable AI.

Whether you’re considering a career in AI training or simply curious about the field, this course offers valuable perspectives, hands-on examples, and industry insights. Join me to understand how human expertise is driving the future of artificial intelligence.

About us:

micro1 is a leading company specializing in connecting businesses with top-tier AI annotators and trainers from around the globe. Based in San Francisco, micro1 leverages its extensive network and expertise to recruit thousands of skilled professionals daily, ensuring the highest quality human data for advancing AI systems. With a mission to empower individuals from all backgrounds to contribute to AI development, micro1 provides comprehensive training and resources to prepare annotators for impactful roles in the industry. As pioneers in human-in-the-loop AI, micro1 is shaping the future of technology through innovation and collaboration.

Who this course is for:

• This course is ideal for individuals interested in AI annotation, trainers aiming to contribute to AI development, and anyone curious about the role of human data in advancing AI. Beginners with no prior experience in AI are welcome.