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Audio Annotation Jobs in New York (NOW HIRING)

Mercor

Spanish Audio Evaluator - Expert

New York, NY · Remote

$50/hr

Spanish (Mexico) Audio Generalist Evaluator Expert Type: Contract Compensation: $50/hour Location ... Experience with transcription, annotation, localization, evaluation, or research workflows in ...

Neon Mobile, Inc

Data Ops Lead

New York, NY · On-site +1

$150K - $190K/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 ...

Welo Data

Data Labeling Associate

New York, NY

$34/hr

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 ...

Stackruit Ltd.

Senior AI Dataset Engineer

Manhattan, NY · On-site

$120 - $150/hr

... text, audio, and visual content. We partner with government agencies and enterprise clients to ... Auto-Annotation Development: Create workflows for auto‑annotation of image and video data (e.g ...

New

Aquent

Senior AI Data Operations Analyst

Manhattan, NY · On-site +1

$47 - $51/hr

... audio experiences. They are at the forefront of innovation, continuously evolving how listeners ... Data Quality / Annotation Background: Proven experience in data annotation, data quality, or ...

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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 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Audio Transcription Specialist - Remote | Upto $50/hr

Mercor

New York, NY • Remote

$50/hr

Full-time

Re-posted 19 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Spanish (Mexico) Audio Generalist Evaluator Expert
Type: Contract
Compensation: $50/hour
Location: Remote
Commitment: 10–20 hours/week

Role Responsibilities

  • Transcribe and optimize audio and video content in Spanish (Mexico), ensuring clarity and adherence to guidelines.
  • Develop detailed evaluation rubrics and grading guidelines in Spanish and English for consumer audio contexts.
  • Conduct model testing and grading, evaluating outputs for accuracy and clarity.
  • Provide structured feedback to improve AI model performance in Spanish audio tasks.
  • Support benchmarking and quality assurance, maintaining consistency and reliability in datasets.
  • Collaborate with project leads to resolve ambiguities and improve task design.

Qualifications

Must-Have

  • Strong writing, editing, and critical thinking skills.
  • Ability to work independently and manage time effectively.
  • Native or near-native fluency in Spanish (Mexico) and professional fluency in English.
  • Familiarity with Mexican Spanish, regional vocabulary, and contemporary language usage.
  • Ability to transcribe and analyze Spanish audio content accurately.

Preferred

  • College students or recent graduates.
  • Background in linguistics, humanities, social sciences, journalism, translation/localization, or technical disciplines.
  • Experience with transcription, annotation, localization, evaluation, or research workflows in Spanish.
  • Familiarity with differences between Mexican Spanish and other Latin American Spanish varieties.
  • Interest in AI, language models, or applied research environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.