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Audio Annotation Job Jobs (NOW HIRING)

$20/hr

Data Annotation Generalist Contract Type: Hourly, Independent Contractor Location: Remote ... Familiarity with multiple data types (text, image, audio, video)

Strategic Projects Lead -- Audio Data

$53 - $71.75/hr

Responsibilities : • Own audio data collection and annotation projects from kickoff through final customer delivery. • Translate customer requirements into project specs, contributor workflows ...

Principal ML Engineer

Palo Alto, CA · On-site

$250K - $350K/yr

Experience with labeling tools, audio annotation platforms, or human-in-the- loop annotation pipelines. * Experience at a high-growth startup or tech company operating at scale. * Deep experience ...

Prior experience in transcription, voice work, or data annotation is a plus but not required Why ... All audio data must be original and legally sourced * Submitted data must not include any ...

$18 - $23.50/hr

Comfortable with web-based annotation platforms and variable-speed audio playback * Reliable high-speed internet, quality headphones, and a quiet workspace * Ability to commit to defined volume per ...

Spanish (Mexico) Audio Generalist Evaluator Expert Type: Contract Compensation: $50/hour Location ... Experience with transcription, annotation, localization, evaluation, or research workflows in ...

Comfortable with web-based annotation platforms and variable-speed audio playback * Reliable high-speed internet, quality headphones, and a quiet workspace * Ability to commit to defined volume per ...

Hands-on experience with speech datasets, annotation, or audio production. * Background working with or at a frontier AI lab or voice-AI product company. * Multilingual / localization exposure. The ...

... improve annotation tools for efficient audio workflows. Qualifications : Required : • Native proficiency in Arabic with exposure to diverse accents, dialects, or regional variations. • ...

Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: * Native proficiency in Hungarian with exposure to diverse accents, dialects, or regional ...

Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: * Native proficiency in Tagalog with exposure to diverse accents, dialects, or regional ...

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Audio Annotation Job information

See salary details

$29.5K

$84.5K

$171.5K

How much do audio annotation job jobs pay per year?

As of Jul 18, 2026, the average yearly pay for audio annotation job in the United States is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $113,000.00 per year, depending on experience, location, and employer.

What is the difference between Audio Annotation Job vs Data Labeling Specialist?

AspectAudio Annotation JobData Labeling Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or office-based, focused on audio dataRemote or office-based, focused on various data types
Industry UsageSpeech recognition, voice assistants, audio AIVarious AI applications, including images, text, and audio

Audio Annotation Jobs primarily involve labeling audio data for speech recognition and voice AI, requiring skills in listening and precise tagging. Data Labeling Specialists may work across multiple data types but share similar skills. While both roles involve data annotation, Audio Annotation Jobs focus specifically on audio content, making them distinct in industry applications and required skills.

How much do AI annotators make?

AI annotators, including those working on audio annotation jobs, typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform. Many roles are freelance or part-time, with some positions offering higher pay for specialized skills or certifications in data labeling tools.

What is an audio annotation job?

An audio annotation job involves listening to audio recordings and labeling or transcribing specific elements such as speech, sounds, or events to create datasets used for training machine learning models. Workers typically use specialized tools and need good listening skills, attention to detail, and sometimes basic knowledge of audio editing or annotation software.

What is the salary of audio annotation?

The salary for an audio annotation job typically ranges from $10 to $20 per hour, depending on experience, location, and the company. Many positions are freelance or part-time, often requiring attention to detail and familiarity with annotation tools.

How to become an annotator?

To become an audio annotation job worker, you typically need good listening skills, attention to detail, and basic computer proficiency. Many employers require completing a training or qualification test, and familiarity with annotation tools or software is often helpful. No formal degree is usually necessary, but some roles may prefer prior experience in data labeling or related tasks.
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Audio Collection & Transcription - Native U.S. English Speakers

Chemin

Brazil, IN • Remote

Full-time

Posted 3 days ago

New


Job description

About Kaya

Kaya by Chemin Sdn Bhd is a community for high-performing data annotators who play an integral role in shaping the future of machine learning and artificial intelligence.

Kaya offers a collaborative environment where ambitious annotators can thrive. It is a tight-knit community that supports members' professional growth and helps them build a long-term career in data labelling and AI.

Join Kaya and start contributing to impactful AI projects.

About the Role

We are looking for native U.S. English speakers to join a short-term remote project helping train AI language systems.

Your task in this project is to record natural customer service conversations based on client-provided scripts and accurately transcribe your own recordings. These conversations reflect how people naturally speak in real-life customer service interactions, helping AI better understand authentic U.S. English speech.

If you're comfortable working with audio, detail-oriented, and can commit a few hours a day, this project is for you.

Requirements

What You'll Be Doing
  • Record natural customer service conversations by following client-provided scripts
  • Transcribe your own recordings accurately
  • Segment audio into natural speech units
  • Identify and label speakers when multiple voices are present
  • Apply transcription guidelines, punctuation, and annotation tags correctly
  • Follow project guidelines to maintain high-quality outputs
  • Communicate actively with the Project Manager for clarifications
Project Details
  • Duration: Approximately 2 months
  • Time commitment: Around 4–6 hours per day
  • Onboarding Training: Mandatory (TBD, during office hours 9:00 AM–6:00 PM GMT-3)
  • Working hours: Flexible (tasks can be completed anytime before the assigned deadline)
Pay Rate
  • Audio Collection: USD 1 per accepted audio minute
  • Transcription: USD 2 per accepted task (AHT: ~30–60 minutes per task)
  • Project Period: July – August 2026
What Do I Need?
  • Native speaker of U.S. English
  • Strong listening, reading, and writing skills in English
  • Excellent attention to detail and ability to follow written guidelines
  • Detail-oriented and patient, able to maintain at least 95% accuracy
  • Willing to ask questions when unsure
  • Quiet environment suitable for recording audio
  • Laptop or desktop with a stable internet connection
  • Ability to manage your own time and meet deadlines
  • Willing to complete a mandatory pre-assessment as part of the screening process, assessment here: https://forms.gle/Vkhfz2fGVXiWvHMv6

A mandatory pre-assessment will be shared to evaluate whether your skill and language proficiency meets the project's quality standards.

Bonus point: Previous experience in transcription, audio annotation, data labelling, or AI-related projects.

Benefits

    • Work remotely from anywhere
    • Be part of an AI project representing authentic U.S. English conversations
    • Priority consideration for future opportunities
    • Gain hands-on experience in AI language data, transcription, and audio annotation
    • Contribute to building smarter and more inclusive AI language technologies