Audio Annotation Analyst
Core
Review and annotate audio recordings, video content, and interaction data to support the development and evaluation of fraud detection, authentication, and deepfake detection technologies.
Role type
Audio Annotation Analyst (Research team)
Builds
High-quality labeled datasets for machine learning model development and evaluation
Domain
Cybersecurity, Fraud Detection, Voice Intelligence, AI Safety
Deliverable
production ML models
Required skills
Audio annotation, Video annotation, Data labeling, Classification guidelines application, Anomaly detection, Data organization (spreadsheets), Written documentation
Preferred skills
Data annotation experience, Fraud detection knowledge, Voice biometrics familiarity, Deepfake understanding, SQL basics, Annotation platform experience
Responsibilities
Review and annotate audio/video content based on project guidelines, Identify fraud indicators and synthetic content characteristics, Flag difficult cases and collaborate with scientists, Support investigations by reviewing interactions for quality issues, Maintain accurate annotation records and summarize findings, Handle sensitive data responsibly
Seniority
Individual Contributor
