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Salary: USD 60,000 - 80,000 / annual
Pindrop is a cybersecurity company delivering continuous identity verification across voice, video, and digital interactions. The company protects billions of high-risk interactions for enterprises including financial institutions, insurers, and healthcare organizations, leveraging over 8 billion real-world interactions annually and 300+ patents.
As an Audio Annotation Analyst on the Research team, you will review and annotate audio recordings, video content, and associated interaction data to support the development, evaluation, and improvement of Pindrop's fraud detection, authentication, and deepfake detection technologies. Your primary responsibility is to produce accurate, consistent, and high-quality annotations across a variety of Research projects.
Key responsibilities include:
- Review and annotate audio recordings, video content, and associated interaction data, assigning accurate labels based on project-specific guidelines and classification criteria
- Apply established classification criteria to identify potential fraud indicators, authentication outcomes, characteristics of human-generated versus synthetic content, and other attributes relevant to Research projects
- Apply annotation guidelines consistently across large datasets, review existing labels for discrepancies, and help maintain high-quality datasets for model development and evaluation
- Flag interactions that are difficult to classify or fall outside established guidelines, document observations, and collaborate with Research Scientists to resolve edge cases
- Support Research investigations by reviewing audio and video interactions to identify potential issues such as background noise, audio quality degradation, IVR process gaps, or unexpected model behavior
- Conduct targeted interaction and metadata reviews to support customer inquiries, model evaluations, and evolving Research priorities
- Maintain accurate annotation records and summarize findings, recurring patterns, and classification inconsistencies to support Research analysis and model improvements
- Handle sensitive audio, video, and interaction data responsibly, following established privacy, security, and confidentiality guidelines
You will work with real-world interaction data and contribute directly to the development and evaluation of technologies that protect enterprises and their customers from increasingly sophisticated fraud and identity threats. Your annotations and analytical findings will help Research teams build more reliable datasets, evaluate model performance, identify emerging attack patterns, and continuously improve Pindrop's technologies.
REQUIREMENTS:
Must have:
- Excellent listening and observational skills, strong attention to detail, and the ability to apply defined annotation and classification guidelines accurately to audio and video content
- Ability to perform high-volume, repetitive annotation and review tasks while maintaining quality and consistency
- Ability to recognize inconsistencies and ambiguous cases, document findings clearly, and escalate questions appropriately
- Familiarity with spreadsheets (Excel, Google Sheets) or comparable tools for organizing, categorizing, and reviewing data
- Clear written communication skills and the ability to work independently, manage priorities, and meet timelines in a remote environment
Nice to have:
- Experience with data annotation, audio or video labeling, transcription, quality assurance, or qualitative data review
- Familiarity with fraud detection, authentication, voice biometrics, trust and safety, or contact center and IVR workflows
- Understanding of synthetic speech, replay attacks, deepfakes, or machine learning labeling tasks such as intent recognition or speech analysis
- Experience with annotation platforms, structured review tools, or basic data-querying concepts such as SQL
