Audio Annotation Analyst

Pindrop, a cybersecurity firm specializing in voice, video, and digital identity verification, is seeking a remote Audio Annotation Analyst to join its Research team. The role involves reviewing and labeling audio and video data to support the development of fraud detection and deepfake identification technologies. The analyst will work with large datasets, ensuring high-quality annotations that help improve machine learning models and research outcomes.

Daily tasks include applying detailed classification guidelines to identify fraud indicators, synthetic content, and authentication results. The role requires meticulous attention to detail, strong listening skills, and the ability to handle repetitive tasks while maintaining accuracy. The analyst will also document observations, review interactions for anomalies, and support investigations into model performance and real-world interactions.

Candidates should be organized, self-motivated, and capable of working independently in a remote setting. Familiarity with data organization tools like spreadsheets, and experience in data annotation or related fields, are advantageous. The position offers an opportunity to contribute to innovative AI-driven security solutions that protect enterprises from evolving digital threats.