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Audio Annotation Jobs in California (NOW HIRING)

... and annotation * Set new standards for how we evaluate and benchmark our audio models What You ... Bring * Strong applied mindset and ability to balance scientific novelty with product impact.

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 ...

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 ...

AI Scientist

Palo Alto, CA · On-site

$125 - $150/hr

Designing ad‑hoc annotation processes themselves. * Participating to the pre‑training effort ... Audio/Speech experience -- audio input/output, NLP, etc. #J-18808-Ljbffr

User Study Researcher

Sunnyvale, CA · On-site

$55 - $70/hr

Hands-on capability to perform manual data annotation (audio, video, sensor, text) against strict labeling guidelines * Solid understanding of human factors, ergonomics, or usability principles for ...

New

Execute Data labelling and annotation tasks across speech and voice datasets. * Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A FIT IF YOU'RE... * A ...

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Audio Annotation information

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 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 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 August 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Strategic Projects Lead - Audio Data

Success Matcher Recruitment

Redwood City, CA • Hybrid

$140K - $160K/yr

Full-time

Re-posted 22 days ago


Job description

About the Company

Our client is building the foundational data and benchmark infrastructure for next-generation Voice AI, helping frontier AI labs train models to understand humanity across every language, dialect, and accent.

Backed by Y Combinator and over $3.5M in seed funding from top-tier Silicon Valley investors (including surgepoint, Amino Capital, and co-founders of Twitch and Cruise), they operate as a lean, elite team of ~10 scaling rapidly in the Bay Area.

About the Role

As the Strategic Projects Lead - Audio Data, you will own and deliver high-priority audio data collection projects end-to-end. In this high-ownership, ground-floor role, you will be the single-threaded owner of large-scale, six-figure+ contracts, driving messy and complex projects from customer kickoff through to final, high-quality delivery.

What You Will Do

  • Project Delivery: Manage complex audio data collection projects, overseeing contributor sourcing, engagement, quality assurance, and client communication.
  • Quantitative Operations: Track project progress and KPIs quantitatively. You will build dashboards, analyze throughput/quality data, and proactively solve operational bottlenecks.
  • Client Interface: Work directly with leading frontier AI labs to clarify requirements, deliver progress updates, and iterate based on their feedback.
  • Product Collaboration: Propose and drive technical and product changes with the engineering team to improve platform capabilities, contributor workflows, and QA tooling.
  • Resource Management: Hire and manage external QA resources as needed, collaborating directly with the co-founders and engineers to unblock delivery.

What You Bring

  • Experience: 2 to 7 years of data operations experience specifically on the supply side at a data annotation/labeling vendor company (e.g., Scale AI, Surge AI, Appen, Micro1, TELUS Digital, DataAnnotation, or a similar AI data startup).
  • Track Record: Proven success delivering six-figure+ data collection or annotation contracts end-to-end.
  • Technical Domain: Direct experience managing audio, speech, voice, or multimodal data projects.
  • Analytical Chops: Strong analytical skills with the ability to build dashboards and use data to solve quantitative operational problems.
  • QA Design: Quality workflow design experience, including creating annotation guidelines, QA rubrics, and quality control systems.
  • Mindset: Extreme ownership, resilience in the face of ambiguity, and a habit of pushing through obstacles to deliver results.
  • Presence: Ability to work full-time on-site (5 days/week) in the San Mateo/Redwood City, CA area.