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Audio Annotation Jobs (NOW HIRING)

Besimple AI

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 ...

New

Sanas

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 ...

Perle AI

Freelance Audio Contributor - US English

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 ...

Perle AI

$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 ...

Perle AI

Expert Audio Transcriber, Hebrew (US, Canada, EU)

$20.50 - $26.50/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 ...

Innodata Inc.

Audio Solutions Architect

$150K - $230K/yr

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 ...

xAI

AI Tutor - Arabic

Palo Alto, CA

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

xAI

AI Tutor - Russian

Charleston, WV

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

xAI

AI Tutor - Tagalog

Charleston, WV

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 ...

xAI

AI Tutor - Chinese

Palo Alto, CA

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

xAI

AI Tutor - Danish

Palo Alto, CA

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

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Audio Annotation information

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$29.5K

$84.5K

$171.5K

How much do audio annotation jobs pay per year?

As of Jun 27, 2026, the average yearly pay for audio annotation 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 are the key skills and qualifications needed to thrive as an Audio Annotator, and why are they important?

To thrive as an Audio Annotator, you need strong attention to detail, excellent listening skills, and familiarity with linguistic concepts, often supported by relevant coursework or experience in linguistics or audio processing. Proficiency in annotation tools such as ELAN, Audacity, or Praat, as well as experience with data labeling platforms, is typically required. Strong organizational skills, patience, and the ability to work independently make someone stand out in this role. These skills ensure accurate and consistent audio data labeling, which is essential for training reliable AI and speech recognition systems.

What are audio annotations?

Audio annotations involve labeling or transcribing audio recordings to identify specific sounds, speech, or events, which helps improve machine learning models for speech recognition, speaker identification, or sound classification. Annotators often use specialized tools and must pay close attention to detail to ensure accuracy in the labeled data.

What are some common challenges faced by audio annotators, and how can they be managed effectively?

Audio annotators often encounter challenges such as distinguishing overlapping voices, dealing with low-quality recordings, and maintaining consistency in labeling. To manage these, it's important to use high-quality headphones, familiarize yourself with annotation guidelines, and communicate regularly with your team to resolve ambiguities. Many organizations also provide regular feedback sessions and quality checks to ensure accuracy and support continuous improvement.

What is the salary of audio annotation?

The salary for audio annotation jobs typically ranges from $10 to $20 per hour, depending on experience, location, and the complexity of the tasks. Many positions are freelance or part-time, often requiring basic computer skills and attention to detail.

Does data annotation really pay you?

Audio annotation jobs typically pay hourly or per task rates, with earnings varying based on experience, complexity of the work, and platform. Many annotators earn between minimum wage and a few dollars per hour, but consistent income depends on workload and skill level. Some companies offer flexible schedules and remote work options for audio annotators.

What is audio annotation?

Audio annotation is the process of labeling or tagging audio data with relevant information, such as identifying sounds, speech, speakers, or background noises. This process helps train machine learning models to recognize and understand audio content. Audio annotation can involve tasks like transcribing speech, marking segments with specific sounds, or categorizing audio clips by genre or emotion. It is widely used in developing applications for speech recognition, virtual assistants, and audio analysis.

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 help train machine learning models. Workers typically use specialized tools and must pay close attention to detail, often working remotely with flexible schedules.
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Audio Annotation jobs near you

Strategic Projects Lead -- Audio Data

Besimple AI

Remote

$53 - $71.75/hr

Full-time

Posted 2 days ago

Job description

Job Summary:
Besimple AI is building the data and benchmark infrastructure for the next generation of voice AI. They are seeking a Strategic Projects Lead — Audio Data to manage high-priority audio data projects, ensuring they meet customer expectations from initiation to delivery.
Responsibilities:
• Own audio data collection and annotation projects from kickoff through final customer delivery.
• Translate customer requirements into project specs, contributor workflows, annotation guidelines, QA rubrics, acceptance criteria, and delivery plans.
• Configure and operate projects through Besimple’s internal platform.
• Design and run pilots to validate task design, contributor fit, audio quality, tooling, throughput, cost, and QA process before scaling.
• Manage day-to-day execution across contributors, annotators, reviewers, QA leads, and internal tools.
• Monitor project health across volume, quality, rejection rate, rework rate, cost, margin, and timeline risk.
• Identify platform gaps that prevent projects from scaling, then write clear product requirements or feature requests.
• Partner with engineering/product to build or improve tools for project setup, contributor workflows, QA, review, payments, reporting, and delivery.
• Partner with contributor growth to ensure we have the right supply by language, accent, demographic, device, skill set, or task type.
• Build dashboards, trackers, and operating cadences for project execution.
• Communicate project status, risks, tradeoffs, and blockers clearly to founders, internal teams, and customers.
• Create repeatable playbooks for future audio collection, transcription, annotation, and QA projects.
• Drive root-cause analysis when projects miss quality, cost, or timeline expectations.
Qualifications:
Required:
• 3–7+ years of experience in data operations, AI data delivery, annotation operations, localization project management, marketplace operations, program management, or similar roles.
• Proven experience owning projects end to end, from ambiguous requirements to final delivery.
• Strong operator mindset: you can break down vague goals, create a plan, execute quickly, and unblock yourself.
• Experience managing complex workflows involving distributed contributors, reviewers, contractors, vendors, or large-scale data operations.
• Strong product sense; able to identify when tooling or platform features are needed and translate operational pain points into clear product requirements.
• Strong analytical ability; comfortable with spreadsheets, dashboards, funnel metrics, QA metrics, and operational KPIs.
• Excellent written communication; able to write clear instructions, guidelines, SOPs, customer updates, and internal product specs.
• Strong quality judgment and attention to detail.
• Comfortable balancing quality, speed, cost, customer requirements, contributor experience, and platform constraints.
• Comfortable working in ambiguity and building processes from scratch.
• High ownership, low ego, and willingness to get hands-on with messy operational details.
Preferred:
• Experience at a data labeling, AI data, localization, or crowdsourcing company such as Scale AI, Surge AI, Appen, TELUS Digital, RWS, TransPerfect DataForce, Welocalize, Lilt, Turing, DataAnnotation, Outlier, Remotasks, or similar.
• Experience owning end-to-end delivery of data collection, annotation, transcription, evaluation, or QA projects.
• Experience with audio, speech, voice, ASR, TTS, speech-to-speech, transcription, podcast/audio production, or linguistic data.
• Experience building or improving internal tools, workflow systems, annotation platforms, QA systems, or contributor-facing products.
• Experience designing annotation guidelines, QA rubrics, reviewer training, or calibration workflows.
• Experience with multilingual or locale-specific data projects.
• Experience managing large distributed teams of contributors, reviewers, contractors, or vendors.
• Basic SQL, Python, Airtable, Retool, no-code automation, or workflow tooling experience.
Company:
besimple AI is a software company that provides AI-based data annotation infrastructure designed for model training. Founded in 2025, the company is headquartered in Redwood City, USA, with a team of 2-10 employees. The company is currently Early Stage.

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