Audio Annotation Clerk

Job Summary

We are seeking a detail-oriented Audio Annotation Clerk for a temporary, 100% on-site opportunity in Lake Mary, FL. This role supports an exciting AI-focused project by listening to audio recordings and accurately evaluating, labeling, and categorizing speech and sound data.

This is a great fit for someone who enjoys podcasts, audiobooks, long-form audio, music, transcription, or detailed review work. You will be part of a structured, quality-focused project environment where accuracy, patience, and strong listening skills directly contribute to improving speech recognition and artificial intelligence technology.

The Audio Annotation Clerk role offers a consistent weekday schedule, clear project guidelines, and the opportunity to gain hands-on experience in AI data annotation and audio evaluation.

Key Responsibilities

- Listen to audio recordings and evaluate speech quality, clarity, tone, and sound characteristics.
- Identify changes in speakers, voice patterns, background sounds, and other audio events.
- Label, categorize, and annotate audio content according to detailed project guidelines.
- Review audio data for accuracy, consistency, and completeness.
- Follow quality standards while maintaining focus during repetitive and detail-driven tasks.
- Support the improvement of AI, machine learning, and speech recognition technologies through precise annotation work.

Compensation and Benefits

- Pay: $18.00 per hour.
- Job Type: Contract/Temporary.
- Location: 100% on-site in Lake Mary, FL 32746.
- Schedule: Monday-Friday, 8:00 AM-4:30 PM.
- Assignment Length: Temporary through the end of July, with the possibility of extension.

Equal Opportunity Employer / Disabled / Protected Veterans

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For temporary assignments lasting 13 weeks or longer, AppleOne is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.

We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.

AppleOne participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.

We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Additional Skills

Required Qualifications and Skills

- Listen to and evaluate long-form audio recordings for quality, clarity, and speaker characteristics.
- Label and categorize speech, sound, tone, and audio events using project-specific guidelines.
- Verify audio data accuracy and consistency to support AI and speech recognition development.
- Maintain focus and productivity while performing repetitive, detail-oriented annotation tasks.

- 1-2 years of related work experience preferred.
- Exceptional listening skills and strong attention to detail.
- Ability to notice subtle changes in voice, tone, speech patterns, and sound quality.
- Strong computer skills with the ability to learn new software tools quickly.
- Comfortable following detailed instructions, processes, and quality standards.
- Patience and consistency when working with repetitive audio review tasks.
- Interest in podcasts, audiobooks, music production, transcription, AI, or other audio-based content.

Preferred Qualifications

- Experience with audio annotation, AI data labeling, or machine learning data review.
- Familiarity with audio editing or analysis software such as Audacity, ELAN, or Praat.
- Transcription experience.
- Background in podcasting, music, audio production, or sound editing.
- Quality assurance, data review, or other detail-oriented work experience.
- Experience using freelance AI training or data annotation platforms.