Audio Annotation Analyst

Pindrop
•$60,000 - $80,000•Remote

About The Position

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 assignments will span audio and video annotation projects based on evolving Research priorities and team needs. Your primary responsibility will be to produce accurate, consistent, and high-quality annotations across a variety of Research projects. You will also support targeted investigations by reviewing interactions, identifying anomalies, and documenting observations that help Research Scientists better understand model performance and real-world customer interactions.

Requirements

  • 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 Haves

  • 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

Responsibilities

  • 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, including intent recognition when applicable.
  • 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.

Benefits

  • Unlimited Paid Time Off (PTO)
  • Competitive compensation package, including RSUs (Restricted Stock Units) for all employees
  • Remote-first environment
  • Generous health and welfare plans
  • Best-in-class Health Savings Account (HSA) employer contribution
  • Low-cost vision and dental plans
  • Paid Parental Leave
  • One year of diaper delivery
  • Recurring monthly phone and internet allowance
  • Enhanced fertility and GLP-1 benefits
  • Annual Learning & Development stipend
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