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Audio Annotation Jobs in California (NOW HIRING)

... audio, video, and 3D data. • Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model ...

... audio, video, and 3D data. • Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model ...

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Preferred : • Experience with multimodal datasets (text, image, video, audio, or 3D). • Familiarity with data annotation, labeling workflows, or dataset preparation for machine learning. • ...

Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, particularly for visual and audio data. * Design evaluation frameworks ...

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Preferred : • Experience with multimodal datasets (text, image, video, audio, or 3D). • Familiarity with data annotation, labeling workflows, or dataset preparation for machine learning. • ...

Research Engineer, Data

San Francisco, CA

$134K - $162K/yr

... audio tokens and 1T video tokens--let alone do this on-device. We're pioneering the model ... Build evaluations of speech models, both via manual annotation and at scale with automated metrics.

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Audio Annotation information

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 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 jobs make $3,000 a month without a degree?

Audio annotation jobs can pay around $3,000 per month for experienced workers, especially those working full-time or on high-volume projects. These roles typically require strong attention to detail, familiarity with audio editing tools, and the ability to work independently, often without formal degrees. Compensation varies based on experience, workload, and the platform or employer.

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.

How to become an AI annotator?

To become an AI annotator, you typically need strong attention to detail, good listening skills, and basic computer proficiency. Many roles require familiarity with annotation tools and sometimes a high school diploma or equivalent. Gaining experience through online training or tutorials can improve your chances of securing a position in this field.

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 sounds, speech, 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 are popular job titles related to Audio Annotation jobs in California? For Audio Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Audio Annotation jobs in California look for? The top searched job categories for Audio Annotation jobs in California are:
What cities in California are hiring for Audio Annotation jobs? Cities in California with the most Audio Annotation job openings:
Infographic showing various Audio Annotation job openings in California as of July 2026, with employment types broken down into 75% Full Time, 12% Part Time, 4% Temporary, and 9% Contract. Highlights an 74% In-person, and 26% Remote job distribution.
Arabic Data Labeling Analyst(Speech & Voice)

Arabic Data Labeling Analyst(Speech & Voice)

Welocalize

San Francisco, CA • On-site

Full-time

Posted 12 days ago


Welocalize rating

5.9

Company rating: 5.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

357th of 449 rated business services


Job description

Job Summary:
Welocalize is seeking detail-oriented and reliable individuals to join their team as Data Labeling Analysts, supporting speech and voice AI systems. This role focuses on building datasets for AI systems by executing data labeling tasks, ensuring accuracy and consistency in the data used for training models.
Responsibilities:
• Execute high-volume data labeling and annotation tasks across speech and voice datasets
• Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
• Work with audio and language data, including transcription, categorization, and tagging
• Maintain strong throughput while meeting quality expectations
• Escalate unclear or ambiguous cases appropriately
• Adapt to evolving guidelines and workflows as systems and requirements change
• Support baseline data production needs for AI training pipelines
• Contribute to team calibrations and quality alignment sessions
Qualifications:
Required:
• Native-level fluency in Croatian
• Strong written communication skills and language fundamentals
• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
• Ability to follow detailed instructions and apply guidelines consistently
• High attention to detail and ability to maintain accuracy in repetitive tasks
• Comfort working in structured, process-driven environments
• Ability to manage time effectively and maintain steady output
• Willingness to ask questions and escalate when needed
Preferred:
• Basic familiarity with AI, speech technology, or language data is a plus
Company:
Welocalize provides translation supply chain management solutions that deliver market-ready, translated content. Founded in 1997, the company is headquartered in Frederick, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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