The Business Layer of a data labeling facility encompasses the roles, processes, and outputs essential for delivering high-quality labeled datasets for AI/ML applications. At its core, this layer orchestrates the data acquisition and preparation process, transforming raw datasets into structured and preprocessed formats ready for annotation. The data annotation and labeling process is the central operation where annotators, often supported by AI-assisted tools, label data such as text, images, audio, or video according to predefined guidelines. Ensuring accuracy and consistency, the quality assurance and validation process employs manual reviews, automated checks, and consensus scoring to create dependable datasets. Once validated, labeled datasets are organized into metadata catalogs for traceability and delivered to clients in formats compatible with AI/ML pipelines. Supporting these workflows, the compliance management process guarantees adherence to data privacy regulations and security standards, while the continual improvement process ensures ongoing refinement of workflows, tools, and annotation quality. The roles within the business layer are specialized to support these processes effectively. Annotators perform the critical task of applying labels, while subject matter experts provide domain-specific knowledge for high-complexity or sensitive projects. Quality assurance specialists validate the outputs to ensure compliance with accuracy and consistency requirements, and data engineers handle the preprocessing of datasets and manage data pipelines. Client managers liaise with clients to capture project requirements and provide iterative feedback, while project managers oversee timelines, resource allocation, and overall workflow efficiency. Compliance officers ensure all operations adhere to legal and regulatory standards, particularly for sensitive or classified datasets. Together, these roles and processes produce key products such as labeled and quality-assured datasets, metadata catalogs, annotation guidelines, compliance reports, and workflow optimization outputs, all tailored to meet client requirements and industry standards.