# Audio Annotation Analyst

**Company**: Pindrop
**Work arrangement**: remote
**Salary**: $60,000 - $80,000USD
**Category**: IT
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pindropsecurity/jobs/8282103?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8ca60be2-a89

## Description

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 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.

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.

- 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.

- Conduct targeted interaction and metadata reviews to support customer inquiries, model evaluations, and evolving Research priorities.

- Maintain accurate annotation records and summarise 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.

Requirements:

- Exceptionally attentive to detail, with strong listening and observational skills.

- Comfortable with focused, repetitive review work and able to maintain accuracy and consistency.

- Able to follow detailed guidelines while exercising sound judgment.

- Organised, self-driven, and able to document classification decisions and observations clearly.

- Curious about new technologies, forms of fraud, and synthetic or manipulated media.

- Adaptable and comfortable transitioning between audio and video annotation projects.

Nice to have:

- Experience with data annotation, audio or video labelling, transcription, quality assurance.

- Familiarity with fraud detection, authentication, voice biometrics.

- Understanding of synthetic speech, replay attacks, deepfakes.

- Experience with annotation platforms, structured review tools.

Benefits:

- Unlimited Paid Time Off (PTO)

- Competitive compensation package, including RSUs

- 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

## Skills

### Required
- listening and observational skills
- attention to detail
- annotation guidelines
- classification criteria
- data analysis

### Nice to have
- data annotation
- audio or video labelling
- transcription
- quality assurance
- fraud detection
- authentication
- voice biometrics

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pindropsecurity/jobs/8282103?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
