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Audio Annotation Jobs in Kentucky (NOW HIRING)

$15/hr

Prior work with annotation platforms, data labeling tools, or speech-to-text systems * Familiarity with audio editing software or transcript alignment tools * Experience working with multiple Chinese ...

Design and operate human evaluation programs -- listener panels, crowdsourced annotation, and ... Deep familiarity with speech and audio quality metrics -- perceptual (MOS, MUSHRA, PESQ, STOI ...

... raw audio ingestion to production-ready datasets * Build and evolve labeling specs, style guides, and instructional documentation for global annotation teams * Identify opportunities for better ...

The position will combine video production, audio editing, screen capture, graphics development ... annotation, and reuse. * Transform long-form instructor-led training recordings into appropriately ...

... image, audio). * Own the full ML lifecycle: from prototyping and data analysis to deployment ... annotation systems. * Architect end-to-end systems for monitoring platform activity, detecting ...

Drive international model evaluation strategy across audio, vision, language, and fusion models ... Experience managing large-scale data generation, annotation, and evaluation workflows specifically ...

... audio and transcribed more than 1 trillion words. There is no organization in the world that ... Test data ingestion, processing, annotation, and quality-control workflows, validating data ...

... audio and transcribed more than 1 trillion words. There is no organization in the world that ... Test data ingestion, processing, annotation, and quality-control workflows, validating data ...

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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 job categories do people searching Audio Annotation jobs in Kentucky look for?

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

What cities in Kentucky are hiring for Audio Annotation jobs?

Cities in Kentucky with the most Audio Annotation job openings:

Infographic showing various Audio Annotation job openings in Kentucky as of August 2026, with employment types broken down into 1% Internship, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Simplified Chinese Audio Transcript Editor Alignerr · New York, NY $15-35/hr →

On-site

$15/hr

Other

Posted 10 days ago


Job description

Simplified Chinese Audio Transcript Editor (AI Training) About the Role

What if your fluency in Simplified Chinese and your sharp ear for spoken language could directly influence how AI understands Mandarin for hundreds of millions of people? We're looking for Audio Transcript Editors in the New York metro area to clean up, correct, and polish audio transcripts — ensuring every character, phrase, and timestamp is precisely accurate.

New York's large, highly educated Mandarin-speaking community is an ideal home for this kind of precision language work. You'll listen to recordings, compare them against existing transcripts, and make the careful, word-level corrections that train AI systems to genuinely understand spoken Chinese. If you notice when a single character is off or a timestamp is misaligned, this role was built for you.

This is a fully remote, flexible contract role — work from anywhere on your own schedule. No prior AI experience required.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Listen to audio recordings and compare them against existing transcripts in Simplified Chinese
  • Correct errors in transcription — including wrong characters, missing words, misheard phrases, and punctuation issues
  • Ensure word-level accuracy and verify exact timing and alignment of transcript segments
  • Follow detailed style and formatting guidelines consistently across all tasks
  • Flag audio quality issues, ambiguous speech, or segments that require further review
  • Maintain high accuracy and consistency across large volumes of transcript data
  • Work independently on task-based assignments at your own pace and on your own schedule
Who You Are
  • Native or near-native proficiency in Simplified Chinese — reading, writing, and listening
  • Exceptional listening skills with the ability to parse speech clearly, even in challenging audio conditions
  • Extremely detail-oriented with a methodical, patient approach to repetitive precision work
  • Comfortable working with word-level accuracy and exact timing or timestamps
  • Able to follow structured, detailed style and formatting guidelines with consistency
  • Self-motivated and reliable when working independently
  • No prior AI or tech experience required
Nice to Have
  • Experience as a transcriptionist, court reporter, or stenographer
  • Background in subtitle editing, closed-captioning, or dubbing
  • Linguistics, phonetics, or language studies education
  • Prior work with annotation platforms, data labeling tools, or speech-to-text systems
  • Familiarity with audio editing software or transcript alignment tools
  • Experience working with multiple Chinese dialects or regional accents
Why Join Us
  • Work on cutting-edge AI projects alongside leading research labs
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, task-based work
  • Contribute to AI development that directly improves how technology understands spoken Chinese
  • Develop and sharpen highly marketable transcription and annotation skills
  • Potential for ongoing work and contract extension as new projects launch
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