Audio Annotation Analyst at Pindrop

Pindrop is a cybersecurity company specialising in identity verification across voice, video, and digital interactions.

Its advanced trust platform helps businesses detect synthetic identities, identify potential fraud, and authenticate users through voice, device, behavioural, and other signals.

Powered by the Pindrop Intelligence Network, the company provides real-time security solutions to leading financial institutions, insurance providers, and healthcare organisations.

Its technology processes billions of real-world interactions annually, helping enterprises protect customers and employees against increasingly sophisticated fraud threats.

Recognised by TIME as one of the 10 Most Influential Software Companies of 2026, Pindrop continues to advance innovation in artificial intelligence, identity verification, and digital security.

About the Role

Pindrop is seeking a detail-oriented Audio Annotation Analyst to join its Research team.

In this role, you will review and annotate audio recordings, video content, and related interaction data to support the development and evaluation of fraud detection, authentication, and deepfake detection technologies.

You will be responsible for producing accurate and consistent annotations, identifying unusual patterns, and documenting observations that help research teams assess model performance and understand real-world customer interactions.

This position offers an opportunity to contribute to emerging AI and security technologies while working remotely in a research-focused environment.

Key Responsibilities

• Review and annotate audio recordings, video content, and related interaction data using established project guidelines.
• Identify potential fraud indicators, authentication results, synthetic media characteristics, and other relevant classification attributes.
• Maintain accurate and consistent annotations across large datasets, reviewing existing labels and correcting discrepancies where necessary.
• Identify ambiguous cases, document observations, and collaborate with Research Scientists to resolve classification challenges.
• Investigate audio and video interactions to identify background noise, audio quality issues, IVR process gaps, and unexpected model behaviour.
• Review interaction records and metadata to support customer inquiries, model evaluations, and research projects.
• Maintain detailed annotation records and summarise recurring patterns, inconsistencies, and findings to support research and model improvements.
• Handle sensitive audio, video, and interaction data in accordance with established privacy, security, and confidentiality requirements.

Requirements and Qualifications

Candidates should demonstrate the following qualifications and skills:

• At least three years of continuous professional or operational work experience, with a strong preference for candidates who demonstrate employment stability.
• A high school diploma, GED, or equivalent practical experience.
• Excellent listening and observational skills, with exceptional attention to detail.
• Ability to follow detailed classification guidelines and accurately annotate audio and video content.
• Experience handling repetitive, high-volume tasks while maintaining accuracy and consistency.
• Strong problem-solving skills, including the ability to identify inconsistencies, document findings, and escalate complex cases appropriately.
• Familiarity with spreadsheets such as Microsoft Excel or Google Sheets for organising and reviewing data.
• Strong written communication skills and the ability to work independently, manage priorities, and meet deadlines in a remote environment.

Preferred Qualifications

The following experience would be an advantage:

• Previous experience in data annotation, audio or video labelling, transcription, quality assurance, or qualitative data review.
• Familiarity with fraud detection, identity authentication, voice biometrics, trust and safety, or contact centre and IVR systems.
• Understanding of synthetic speech, replay attacks, deepfakes, or machine learning labelling tasks such as intent recognition and speech analysis.
• Experience using annotation platforms, structured review tools, or basic data-querying concepts such as SQL.

What You Will Gain

Joining Pindrop’s Research team provides an opportunity to work at the intersection of artificial intelligence, voice technology, fraud prevention, identity verification, and customer experience.

In this role, you will:

• Develop practical knowledge of voice intelligence, fraud prevention, authentication, and deepfake detection.
• Contribute to high-quality datasets that support machine learning development and research.
• Review audio, video, and interaction data across different customer environments and use cases.
• Collaborate with Research Scientists and other stakeholders to improve model reliability and product performance.
• Strengthen your analytical thinking, documentation, communication, and problem-solving skills while working with emerging technologies.

Benefits and Perks

Pindrop offers a range of benefits designed to support employee wellbeing, flexibility, and professional development, including:

• Unlimited paid time off (PTO).
• Competitive compensation, including restricted stock units (RSUs) for employees.
• A remote-first working environment with flexibility and autonomy.
• Regular team gatherings, company-wide events, and opportunities for in-person collaboration.
• Health and welfare plans, including an employer-paid employee-only health plan option.
• Employer contributions to a Health Savings Account (HSA).
• Affordable vision and dental coverage for employees and their families.
• Paid parental leave for birth, adoptive, and foster parents.
• One year of diaper delivery for eligible new parents.
• Monthly phone and internet allowances.
• Enhanced fertility and GLP-1 benefits.
• An annual learning and development stipend for professional growth, certifications, and skills development.

Salary Information

US Base Salary Range: $60,000–$80,000 per year.

The final offer may vary depending on the position’s responsibilities, relevant experience, education, skills, market conditions, and business considerations.

Equal Employment Opportunity

Pindrop is committed to building a diverse and inclusive workplace.

All qualified applicants are considered for employment without discrimination based on protected characteristics, including age, religion, sex, gender identity or expression, sexual orientation, national origin, disability, marital status, or veteran status.

The company may use AI tools to help prioritise applications for human review. These tools may assess applicants’ work experience and skills in relation to the role’s requirements.

How to Apply

Interested candidates are encouraged to apply, even if they do not meet every preferred qualification.

Pindrop welcomes applicants with diverse backgrounds and perspectives and may consider candidates for other suitable opportunities when appropriate.

Apply today to join Pindrop and contribute to the development of technologies that help protect businesses and customers from fraud, identity threats, and AI-generated deception.