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Audio Annotation Jobs in Tampa, FL (NOW HIRING)

MethodHub

Data Annotator

Tampa, FL · On-site

Experience with text, image, video, audio, and document annotation. * Experience working with data annotation and machine learning pipeline management platforms and tools such as Label Studio, CVAT ...

New

MethodHub

Data Labeler / Data Annotator

Tampa, FL · On-site

Experience with text, image, video, audio, and document annotation. * Experience working with data annotation and machine learning pipeline management platforms and tools such as Label Studio, CVAT ...

New

All JobsAudio Annotation JobsAudio Annotation Jobs in Tampa, FL

Audio Annotation information

See Tampa, FL salary details

$27.9K

$79.8K

$162.1K

How much do audio annotation jobs pay per year?

As of Sep 7, 2026, the average yearly pay for audio annotation in Tampa, FL is $79,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,200.00 and $106,800.00 per year, depending on experience, location, and employer.

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 Tampa, FL?

For Audio Annotation jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Audio Annotation jobs in Tampa, FL look for?

The top searched job categories for Audio Annotation jobs in Tampa, FL are:

What cities near Tampa, FL are hiring for Audio Annotation jobs?

Cities near Tampa, FL with the most Audio Annotation job openings:

Audio Annotation jobs near you
Infographic showing various Audio Annotation job openings in Tampa, FL as of August 2026, with employment types broken down into 1% Internship, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $79,812 per year, or $38.4 per hour.

Data Annotator

MethodHub

Tampa, FL • On-site

Other

Posted 2 days ago

New

Job description

Data Labeler / Data Annotator


Location: Tampa, FL (5 days onsite)

Duration: Long-term Contract


Description and Skills:

  • 4-6 years of experience in data labeling/annotation.
  • Perform detailed data annotation and classification activities based on project-specific labeling guidelines and business rules.
  • Experience in preparing, labeling, reviewing, and validating large datasets used for machine learning and artificial intelligence applications.
  • Experience with text, image, video, audio, and document annotation.
  • Experience working with data annotation and machine learning pipeline management platforms and tools such as Label Studio, CVAT, Prodigy, Amazon SageMaker Ground Truth
  • Basic understanding of AI/ML data preparation
  • Health Insurance/Healthcare/payment domain knowledge is an advantage

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