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$19

$46

$69

How much do speech annotation jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for speech annotation in the United States is $46.80, according to ZipRecruiter salary data. Most workers in this role earn between $38.22 and $52.16 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in Speech Annotation roles, and how can they be managed?

Speech Annotation professionals often encounter challenges such as distinguishing between overlapping speakers, accurately transcribing accented or low-quality audio, and adhering to strict annotation guidelines. Managing these challenges requires strong attention to detail, patience, and effective use of annotation tools. Collaborating closely with team members and participating in regular quality reviews can help maintain consistency and accuracy across projects. Staying up-to-date with evolving annotation standards and seeking feedback are also key to overcoming common obstacles in this role.

What does a language annotator do?

A language annotator labels and tags speech or text data to help improve speech recognition and natural language processing systems. They analyze audio or transcripts, marking features like phonemes, words, or intent, often using specialized annotation tools. Attention to detail and understanding of linguistic concepts are important for this role.

What is the difference between Speech Annotation vs Speech Data Labeler?

AspectSpeech AnnotationSpeech Data Labeler
Required CredentialsBasic computer skills, sometimes familiarity with transcription toolsSimilar; often no formal degree required
Work EnvironmentRemote or office-based, working with audio files and annotation softwareRemote or office-based, focusing on labeling speech data
Industry UsageUsed in speech recognition, NLP, AI trainingUsed in speech recognition, AI, and machine learning projects
Common Search IntentUnderstanding roles in speech data processingFinding entry-level speech data tasks

Speech Annotation and Speech Data Labeler roles both involve working with speech data, but Speech Annotation typically requires more detailed labeling, such as marking phonemes or intonations, while Speech Data Labeler focuses on basic transcription and tagging. Both roles are essential in training speech recognition systems and often share similar work environments and skills.

What does an annotation job do?

A speech annotation job involves listening to audio recordings and labeling or transcribing speech data to help train speech recognition systems. Annotators use specialized tools to add tags, transcriptions, or other metadata, often working remotely with flexible schedules. Accuracy and attention to detail are essential skills for this role.

What is speech annotation?

Speech annotation is the process of labeling audio recordings of speech with relevant information, such as transcriptions, speaker identification, emotion, or linguistic features. This work is essential for training and improving speech recognition systems, natural language processing tools, and voice assistants. Annotators listen to audio clips and apply tags or notes according to specific guidelines, ensuring that machine learning models can accurately interpret spoken language. The quality and consistency of speech annotation directly impact the performance of AI systems that rely on understanding human speech.

What is the salary of audio annotation?

The salary for speech annotation roles typically ranges from $10 to $20 per hour, depending on experience, location, and the complexity of the tasks. Many positions are freelance or part-time, with some companies offering project-based pay or hourly rates for data labeling and transcription work.

What is a speech annotator?

A speech annotator is a professional who labels and transcribes audio recordings of speech to create datasets for training speech recognition systems. This role requires attention to detail, knowledge of linguistic features, and often involves using specialized annotation tools. Speech annotators help improve the accuracy of voice recognition technologies used in various applications.

What are the key skills and qualifications needed to thrive as a Speech Annotation Specialist, and why are they important?

To excel as a Speech Annotation Specialist, you need strong linguistic knowledge, attention to detail, and familiarity with phonetics or language data, often supported by a degree in linguistics or a related field. Proficiency with annotation tools like ELAN, Praat, or custom software platforms is essential, along with an understanding of data management systems. Excellent analytical skills, patience, and clear communication help ensure accuracy and efficient teamwork. These skills are crucial for producing high-quality speech datasets, which are fundamental for training and improving speech recognition technologies.
More about Speech Annotation jobs
What cities are hiring for Speech Annotation jobs? Cities with the most Speech Annotation job openings:
What states have the most Speech Annotation jobs? States with the most job openings for Speech Annotation jobs include:
What job categories do people searching Speech Annotation jobs look for? The top searched job categories for Speech Annotation jobs are:
Speech Annotation jobs near you
Infographic showing various Speech Annotation job openings in the United States as of July 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% In-person job distribution, with an average salary of $97,350 per year, or $46.8 per hour.
Speech and Voice AI Analyst - Bilingual (Czech)

Speech and Voice AI Analyst - Bilingual (Czech)

Welo Data

Redmond, WA

$26 - $28/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide?
WHAT YOU’LL DO
• 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 Czech speaker with strong written communication skills
• Experienced in data labelling, annotation, content review, or similar detail-oriented work (1+ year preferred)
• A Bachelor's degree holder
PROJECT DETAILS
• Location: 100% Onsite (Bay Area, Seattle, NYC, or client-dependent locations)
• Employment Type: W2 Full-Time Employee
• Hours: 40 hours per week
• Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship available)
• Eligible Locations: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, and Boston
BENEFITS
• $26–$28 per hour
• Paid Vacation (6 days)
• Paid Company Holidays
• Paid Sick Leave
• Employee Assistance Program
• Health Savings Account (HSA)
• 401(k) Retirement Plan
• Additional Voluntary Benefits (Life, Accident, Critical Illness, etc.)
ADDITIONAL BENEFITS (Upon Eligibility)
• Medical, Dental, and Vision Insurance
• Free Breakfast, Lunch, and Dinner (where applicable)
• Stocked Micro-Kitchens with Snacks and Beverages
• Commuter Benefits, Including Shuttles and Bike-to-Work Options
• Unique Campus Amenities Depending on Location

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.