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Audio Annotation Jobs in New York (NOW HIRING)

Previous work as an AI trainer or in training data annotation for language models. * Background in media localization, multilingual dubbing, or voiceover direction. * Published audio work or ...

Previous work as an AI trainer or in training data annotation for language models. * Background in media localization, multilingual dubbing, or voiceover direction. * Published audio work or ...

Data Ops Lead

Manhattan, NY · On-site

$100 - $140/hr

About the role Your mission is to turn Neon's raw consumer audio streams into the cleanest, most ... Standing up human transcription, annotation and other operations, largely overseas, that make it ...

New

Data Ops Lead

New York, NY · On-site +1

$160K - $220K/yr

About the role Your mission is to turn Neon's raw consumer audio streams into the cleanest, most ... Standing up human transcription, annotation and other operations, largely overseas, that make it ...

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 ...

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 ...

Japanese Language Expert - Remote

New York, NY · Remote

$24 - $31.75/hr

In this role, you will work with Japanese and English audio and written content, ensuring accurate ... Familiarity with AI, language technology, or data annotation projects is a plus.

Showing results 21-40

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 New York?

For Audio Annotation jobs in New York, the most frequently searched job titles are:

What job categories do people searching Audio Annotation jobs in New York look for?

The top searched job categories for Audio Annotation jobs in New York are:

What cities in New York are hiring for Audio Annotation jobs?

Cities in New York with the most Audio Annotation job openings:

Infographic showing various Audio Annotation job openings in New York as of August 2026, with employment types broken down into 66% Full Time, 22% Part Time, 5% Temporary, and 7% Contract. Highlights an 81% In-person, 2% Hybrid, and 17% Remote job distribution.

Audio Engineer

3B Staffing LLC

Manhattan, NY • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:

Join our customer's team as a highly skilled Audio Engineer (Native English Language) and elevate voiceover, dubbing, and audio production quality in innovative projects. This role is ideal for audio engineering experts passionate about linguistic precision, creative audio solutions, and AI training, all while leveraging your expertise as a native English speaker.

Key Responsibilities:

  • Design, record, and edit high-fidelity audio for dubbing and voiceover projects, ensuring natural fluency and clarity in native English.
  • Collaborate with localization and content teams to guarantee seamless integration of audio assets across multimedia deliverables.
  • Oversee the technical workflow for audio post-production, including cleanup, mastering, and synchronization with video content.
  • Apply expert knowledge of translation and adaptation processes for dubbing projects, maintaining authentic tone and context.
  • Review, edit, and provide feedback on scripts and translated content to align with native English standards.
  • Train and support AI models in audio processing tasks, ensuring that outputs meet native English language benchmarks.
  • Maintain detailed documentation and effective written communication for project tracking and knowledge sharing.

Required Skills and Qualifications:

  • Native English language proficiency with exceptional verbal and written communication abilities.
  • Demonstrated expertise in professional audio engineering, including dubbing, voiceover, and audio editing.
  • Strong experience in translation or adaptation of audio scripts, ensuring semantic and tonal accuracy.
  • Advanced proficiency with industry-standard audio editing software and hardware.
  • Proven ability to deliver high-quality work under deadlines and manage multiple projects remotely.
  • Keen attention to detail, creativity, and a collaborative mindset.
  • Experience supporting AI or machine learning initiatives related to audio or language.
  • Previous work as an AI trainer or in training data annotation for language models.
  • Background in media localization, multilingual dubbing, or voiceover direction.
  • Published audio work or portfolio demonstrating native English expertise and audio craftsmanship.