Remote Audio & Video Annotation Analyst

Remote; San Francisco (CA); Remote; USD 42,000 - 65,000; Full time

Benefits offered by this job

Unlimited PTO

Remote-first environment

RSUs for all employees

Annual learning stipend

Phone and internet allowance

Job summary

Pindrop is seeking an Audio Annotation Analyst to review and label audio recordings, video content, and interaction data to improve fraud detection and deepfake detection technologies. The role emphasizes high-volume, precise annotation, adherence to guidelines, and collaboration with Research Scientists to resolve edge cases.

You'll work in a remote environment on diverse projects, maintaining meticulous records and contributing to model evaluations.

Qualifications

• Exceptional attention to detail with strong listening and observational skills.
• Ability to perform high-volume, repetitive annotation while maintaining quality.
• Follow detailed guidelines and document classification decisions clearly.
• Familiarity with spreadsheets or comparable tools for organizing data.

Responsibilities

• Review and annotate audio recordings, video content, and interaction data with accurate labels.
• Apply criteria to identify fraud indicators, authentication outcomes, and synthetic content attributes.
• Maintain consistent annotations across large datasets and review existing labels for discrepancies.
• Flag difficult cases and collaborate with researchers to resolve edge cases.
• Support investigations by reviewing interactions for issues like background noise or IVR gaps.
• Maintain annotation records and summarize findings to support model improvements.

Skills

Attention to detail

Auditory analysis

Documentation

Remote collaboration

Tools

Google Sheets

Excel

Job description

Pindrop is seeking an Audio Annotation Analyst to review and label audio recordings, video content, and interaction data to improve fraud detection and deepfake detection technologies. The role emphasizes high-volume, precise annotation, adherence to guidelines, and collaboration with Research Scientists to resolve edge cases.

You'll work in a remote environment on diverse projects, maintaining meticulous records and contributing to model evaluations.