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Audio Annotation Jobs in California (NOW HIRING)

Lead audio data collection and annotation efforts at Sesame. * Collaborate with research and product teams to understand and formalize their requirements. * Identify and manage internal resources and ...

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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 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 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 May 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution.
Technical Program Manager, Data

Technical Program Manager, Data

Sesame

San Francisco, CA • On-site

$200K - $260K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

About Sesame
Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.
About the Role
We are seeking a Senior Technical Program Manager to lead Sesame's data collection and annotation initiatives. In this role, you will gather data requirements from research and product teams, prioritize projects, identify and manage internal or external resources, and ensure the delivery of high-quality data.
Responsibilities:
  • Lead audio data collection and annotation efforts at Sesame.
  • Collaborate with research and product teams to understand and formalize their requirements.
  • Identify and manage internal resources and/or external vendors to complete data tasks.
  • Ensure the delivery of high-quality work.
  • Work closely with tooling engineers to support data-related tasks.
  • Oversee data acquisition processes.

Required Qualifications:
  • Bachelor's degree in Computer Science or a related field.
  • 5+ years of experience working with machine learning researchers and engineers.
  • Proven experience leading data labeling projects.
  • Experience managing full-time employees or contractors involved in data labeling.
  • Expertise in writing technical specifications for data annotation pipelines.

Preferred Qualifications:
  • Understanding of ML data pipelines and their applications.
  • Experience working with LLMs.
  • Familiarity with data labeling for audio technologies, such as speech recognition and speech synthesis.

Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact careers@sesame.com for assistance.
Full-time Employee Benefits:
  • 401 (k) max employer match: 3.5% of compensation
  • 100% employer-paid health, vision, and dental benefits for you and your dependents
  • Unlimited PTO and sick time
  • Flexible spending account with employer matching up to $1,650/year (medical FSA)
  • Guardian Employee Assistance Program (EAP)
  • Opportunity to share in the company's success with competitive stock options

Benefits do not apply to contingent/contract workers.