Audio annotation entails converting recorded speeches or sounds into texts that are identifiable to virtual assistant devices and chatbots through machine learning (ML) models. This process is crucial for the development of speech recognition models and natural language processing algorithms. Today, there are hundreds (possibly millions) of apps trying to mimic human interaction, which has led to an explosion in the demand for audio labeling services, including various types of audio annotation.

For many companies, however, the prospects of hiring a  data labeling specialists for machine learning (ML) models in-house are hard to overlook. For starters, there’s the assumption that using internal resources helps save time and resources by using employees already on the payroll. This approach can be particularly appealing when dealing with sensitive projects involving speech recognition models or natural language processing, as using an in-house team significantly reduces the threat of intellectual property theft.

When such a machine learning initiative starts to scale, however, the loopholes in using an in-house team can begin to show. The complexities of different types of audio annotation, as well as the specialized knowledge required for speech recognition models and natural language processing, can quickly overwhelm an in-house team.

text annotation

And that’s where our data annotation company comes in. Headquartered in Ukraine, we help companies all over the world recruit audio and speech annotation professionals. Whether you are looking to build your own audio content labeling team from scratch or scale your existing workforce, our team will ensure you get the very best talent suited for your specific needs in audio annotation, speech recognition models, and natural language processing.

Audio Annotation Services In Which Our
Audio Labelers Specialize:

Our agency helps with professional video labeling, and all of our experts are experienced in delivering high-quality, accurate datasets for AI and machine learning algorithms. Here are some of the services they can render.

Sound Labeling

Labeling audio sources entails the data annotators separating all the necessary sounds in an audio file and tagging them. It could be certain keywords in the audio file or the sound of a particular musical instrument. Our annotation company will help with interactively defining and visualizing ground-truth labels for your audio data sets, making them usable in training your models. 

Speech to Text Transcription

This method entails translating spoken speeches or audio into written text. Our hires offer audio transcription services in various industries including finance, legal, medical, e-commerce, and technology. At Remote Labeler Top Transcription Services Agency by DesignRush we can help with other add-ons such as speaker identification, time stamping, and support for different audio file formats.

Speech Labeling

Speech labeling is the primary sound annotation and technique that helps separate sounds and assign tags using specific metadata. Just like image labeling, speech labeling helps you to ontologically identify sounds from a piece of audio and precisely annotate them to augment their usability in training AI and ML. Our data annotation team of environmental sound recognition and classification professionals can help with that.


As the name suggests, audio classification is the process of classifying audio files using different parameters such as language, semantics, dialect, and other features. It is mainly used in numerous NLP applications like chatbots, text-to-speech, automatic and speech recognition software, and so much more. Our team will help you assemble a team of human audio annotators to identify and classify your datasets into predetermined categories. They will accurately label different categories of audio including acoustic data classification, natural language classification, music classification, and environmental sound classification.

Sound Event Tracking

Event tracking helps gauge the performance of sound event detection systems in multivariate environmental conditions background noise too, where the sources of sound are rarely received or heard in isolation. Here, there isn’t control over the number of concurrent and overlapping sound events when training or testing your audio data.

Multi Label Annotation

Multi-label annotation is important in helping NLP models differentiate between two overlapping audio sources. In this approach, a particular audio dataset may belong to one or multiple classes, despite the need to be explicitly conveyed to the model to help it make a better decision.

What Makes Us Unique on the Audio Annotation & Classification Market?

Whilst there are many annotation agencies in Ukraine, not all of them are created equal. Some are out there to scam your money, which is why it is critical to find a reputable data annotation provider. Here are some of the reasons why you should consider working with us for your outsourcing needs:

Work with experienced professionals.

The quality and accuracy of your training data accuracy can make or break your machine learning solution, no matter how well-resourced it might be. One of the biggest advantages of outsourcing data annotation professionals with our agency is that we will provide skilled, experienced experts capable of delivering accurate results rapidly without compromising on the end results. Better yet, they’re accustomed to processing large volumes of data, ultimately improving the overall productivity of your project. 

Scalable teams

Typically, machine learning models millions of labeled datasets to successfully train them for annotating audio files. Whilst the goal of these models vary widely in terms of complexity, they all have a common denominator; huge volumes of high-quality and accurate data to train them. Unfortunately, most audio annotation companies don’t have the resources to bankroll these large-scale data annotation projects. If you are looking to help your company annotate audio files, our data annotation company can help you assemble your team from scratch or scale your existing one.

Fast turnaround time

Relying on in-house teams for audio labeling can delay the completion of your audio annotation project, considering they have to handle other obligations. Along with that, it can be time-consuming to train new employees on the latest audio labeling trends. Another benefit of using our data labeling company is that we can quickly recruit the right data annotators, all thanks to our huge pool of professionals from Eastern Europe.

How We Hire Dedicated Audio Labeler

Building your dedicated video labeling team with our annotation agency is a simple and straightforward process. Just follow these easy steps:

  • Reach out to us to explore your annotation requirements, preferred language, and corporate environment.
  • Our managers will identify appropriate candidates from our talent pool and professional network.
  • Afterwards, we’ll assess the CVs of prospective candidates and share them with you for review.
  • We’ll coordinate virtual interviews using platforms like Zoom, Skype, or your preferred video conferencing tool.
  • Formalize the arrangement by signing a contract, introducing the new team member, and commencing collaboration.

Find and Hire a Dedicated Audio Annotator with Relevant Experience Below

Explore and recruit a skilled audio annotator with pertinent expertise from the selection provided below. Locate and onboard a dedicated professional experienced in audio annotation to fulfill your specific project requirements.

Video Annotation, 3D Point Cloud, Annotation, Speech Recognition

Object Detection, Anomaly Detection, Yield Estimation

Daria – Experienced Remote Data Labeler

Object Detection, 3D Segmentation, Face Retouching 

Image Annotation, Visual Data Processing for ML applprojects

Data Processing, Data Categorization, CVAT Annotation

Image Annotation, Video Annotation, Audio Annotation, Text Semantic Analysis

Image Labeling, Text Annotation, Categorization, Qulity Assurance

Image Annotation, Video Annotation, Audio Annotation

Object Detection, Anomaly Detection, Predictive Maintenance

Text Classification, Entity Extraction, Audio Sentiment Analysis

Audio Annotation, Text Semantic Analysis, Behavior Tracking

Sentiment Analysis, Named Entity Recognition

Text Classification, Entity Extraction and Translation

Frequently Asked Questions about Audio Annotation

What is Audio Annotation?

Audio annotation involves labeling or tagging segments of audio data to train machine learning models. This can be useful in various applications such as voice and human speech recognition, sentiment analysis, and audio event detection.

What types of audio files do you annotate?

We can also annotate audio data from a wide range of audio files, including but not limited to MP3, WAV, and FLAC formats. Our services are designed to be flexible to meet the specific needs of your project.

What industries can benefit from your audio annotation services?

Our audio annotation services are versatile and can benefit multiple industries, including healthcare, automotive (for voice-activated systems), entertainment, customer service (voice bots and voice assistants), and more.

How do you ensure the quality of annotations?

We employ a rigorous quality assurance process to label audio data that includes multiple layers of review and validation. Our annotators are trained professionals who specialize in audio data labeling.

Is my data secure with you?

Absolutely. We adhere to strict data security protocols to ensure that your data is handled confidentially and securely. We are compliant with industry standards and regulations.

Can you handle large-scale audio annotation projects?

Yes, we have the capability to scale our services to meet the demands of large-scale projects. Our platform is designed to handle high volumes of data efficiently.

What annotation tools do you use?

We use state-of-the-art annotation tools that are tailored for audio data. These tools enable us to provide high-quality, accurate audio annotations everywhere.

How do you handle different languages and accents?

Our team of annotators includes experts in the annotation process multiple languages and dialects, allowing us to handle audio data from diverse linguistic backgrounds.

Can you create custom annotation solutions?

Yes, we offer custom audio annotation tools and solutions to meet the unique requirements of your project. Please contact us to discuss your specific needs.

How do I get started?

Getting started is easy! Just reach out to us through the contact form on our website, and one of our representatives will get back to you to discuss your project requirements.

Get in touch with us and hire a dedicated audio labeler in Ukraine!