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Audio Annotation Jobs in New York (NOW HIRING)

Welocalize

Polish Data Labeler

New York, NY

$26 - $28/hr

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 ...

Welocalize

Polish Data Labeler

Manhattan, NY · On-site

$26 - $28/hr

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 ...

YO AI Labs

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.

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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 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:

Audio Annotation jobs near you
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.

Indonesian Bilingual Expert - Remote

YO AI Labs

New York, NY • Remote

$30 - $65/hr

Full-time

Posted 9 days ago

Job description

Indonesian Bilingual Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking Indonesian Bilingual Experts to support a large-scale linguistic and AI training project focused on improving Indonesian language understanding and generation. In this role, you will evaluate AI-generated Indonesian speech, assess linguistic and cultural accuracy, and provide detailed feedback to help improve language model performance.

No prior AI experience is required. Strong Indonesian language expertise, English communication skills, and attention to detail are the key requirements for this role.

Key Responsibilities
  • Listen to and review audio clips to evaluate the nativeness, fluency, and overall quality of AI-generated Indonesian speech.
  • Assess pronunciation, intonation, accent, rhythm, and linguistic authenticity.
  • Evaluate language accuracy and identify unnatural or inappropriate expressions.
  • Validate the cultural and contextual appropriateness of language used in audio samples.
  • Provide clear and detailed written feedback in English and verbal feedback when required.
  • Document observations accurately and provide actionable insights for model improvement.
  • Follow established guidelines, rubrics, and evaluation standards consistently.
  • Collaborate with project coordinators to discuss findings and clarify evaluation requirements.
  • Complete assigned assessments accurately and within defined project timelines.
  • Contribute linguistically informed suggestions to improve evaluation frameworks and language quality standards.
Required Qualifications
  • Native-level proficiency in Indonesian, with excellent command of spoken and written Indonesian.
  • Strong understanding of Indonesian cultural nuances and regional language variations.
  • B2+ proficiency in English, with strong written and verbal communication skills.
  • Excellent attention to detail and a methodical approach to language evaluation.
  • Ability to identify subtle differences in pronunciation, fluency, grammar, tone, and language authenticity.
  • Ability to provide clear, constructive, and actionable feedback.
  • Strong ability to follow detailed guidelines and apply evaluation criteria consistently.
  • Comfortable working independently in a remote environment.
Preferred Qualifications
  • Experience in translation, localization, linguistics, content moderation, transcription, or language quality assessment.
  • Experience evaluating audio, speech, pronunciation, or AI-generated language.
  • Familiarity with Indonesian regional dialects and cultural variations.
  • Experience working with language data, linguistic annotation, or quality assurance.
  • Interest in AI-driven language technologies and speech systems.
Core Skills
  • Indonesian Native Proficiency
  • English – B2+
  • Audio Evaluation
  • Linguistic Assessment
  • Language Quality Assurance
  • Pronunciation & Intonation
  • Cultural & Contextual Awareness
  • Attention to Detail
  • Written Communication
  • Verbal Communication
  • Critical Listening
  • Quality Assurance