AI Content Manager

We are looking for a Data Labeler to support high-quality dataset preparation for machine learning initiatives in San Francisco, California. This Long-term Contract position focuses on reviewing and organizing text, image, audio, and video content so AI models can be trained with reliable, well-structured information. The ideal candidate brings strong editorial judgment, accuracy, and the ability to apply detailed standards consistently across large volumes of content.Responsibilities:• Evaluate and label content across multiple data formats, including written material, images, audio files, and video, using defined annotation standards.• Apply tags, classifications, and descriptive markers to datasets so they can be used effectively in AI and machine learning training workflows.• Inspect content for quality, completeness, and consistency, correcting issues and flagging unclear or unusual cases for further review.• Annotate visual assets by identifying relevant elements, outlining objects, or marking important features based on project requirements.• Review language-based content to classify topics, sentiment, entities, intent, or other attributes needed for model development.• Transcribe and enrich audio-based materials when required, ensuring accurate interpretation and documentation.• Maintain productivity and quality benchmarks while handling recurring tasks with a high level of precision and organization.• Partner with technical and quality teams to refine labeling practices and improve the usefulness of training datasets. Hourly rate: $30–$40