Data labeling platforms play a crucial role in the effectiveness of generative AI (GenAI) by providing high-quality, multimodal datasets essential for training models. These platforms not only facilitate traditional annotation tasks but also support GenAI-specific workflows such as prompt-response labeling, Reinforcement Learning from Human Feedback (RLHF), and multimodal data alignment. In 2025, Encord emerges as a leading platform due to its comprehensive data operations capabilities, which cover annotation, dataset management, quality assurance, and compliance, making it particularly suitable for enterprise-scale GenAI projects that demand secure and regulated data handling. Other platforms like Snorkel Flow, BasicAI, and V7 Labs also offer unique features such as programmatic labeling, RLHF integration, and collaborative tools, catering to various needs in the GenAI landscape.