Top Human Annotation Services for AI Projects
Human Annotation in Machine Learning
Before AI-powered tools can identify objects or understand speech, they need people to teach them. The human-in-the-loop model assumes that machines improve their performance using data processed by humans. Only with people’s help can AI deliver relevant search results, recognize faces, recommend products, identify diagnoses, etc.
Machine learning (ML) models become effective only when they learn from quality training datasets. Creating these datasets is called data annotation, which assumes that professionals mark texts, images, audio, or video files with specific tags. Though every data annotator uses advanced software for marking files, this process is also called manual annotation.
We have extensive expertise in assembling small and large data labeling teams. Our professionals work equally effectively when marking lines and identifying specific areas on, for instance, medical or agricultural images. The teammates we find for you will train AI algorithms to understand human speech and texts. So our data annotation services will help your software perform with high accuracy.
Your Benefits of Hiring Our Human Annotator
Here are several reasons why cooperation with us is beneficial for you:
You save on remuneration
Building remote annotation teams with us cuts your payroll expenses up to 15% — compared to data labelers hired in the USA and Western Europe. This appears due to the lower cost of living in Ukraine.
You minimize office expenses
Employing an entire team would mean arranging working space for them. In your country, office rentals can be substantial, while premises cost in Ukraine can be significantly lower.
Your team will start working after several weeks
Since our recruiters apply proven techniques, use advanced tools, and leverage vast professional networks, they assemble teams quickly. Moreover, we have talent pools of qualified data labelers.
You'll leverage advanced data labeling and annotation tools
We are responsible for the quality of the AI data annotation services our teams deliver. That's why we equip them with top-notch annotation tools.
You don't have to search for candidates
When you confirm cooperation, our recruiters do the most challenging work for you. They embrace announcing vacancies, processing resumes, interviewing candidates, and onboarding team members.
Human Labeling Services We Provide
No matter what kind of data annotation services for machine learning you need, we can help:
Text Annotation
If your AI-powered solution uses NLP (Natural Language Processing) models, be sure your chatbots, translators, voice assistants, and similar tools will learn from the best datasets. We also offer the Optical Character Recognition or OCR text annotation service, embracing the two main areas of text data annotation.
Image annotation
Classification of separate or all objects on images is the basis for computer vision. Image annotation services have become trendy because businesses need to ensure the privacy and security of data. However, computer vision annotation helps agriculture, manufacturing, and healthcare companies save thousands of dollars.
Data classification
Our specialists can help you identify irrelevant or duplicated files in your datasets or detect critical information in your database. This way, all your documents will be labeled and organized, allowing you to find required information urgently.
Video Annotation
Labeling videos involves more work than tagging images. For instance, a half-minute video with 24 frames per second requires processing hundreds of frames. But customers trust the video annotation services we deliver because our teams use professional tools and have years of relevant experience.
Audio transcription
With powerful instruments for audio annotation and collaboration under the belt, our annotators will transcribe your audio files quickly. Like all top-rated audio annotation companies, we support all popular languages and guarantee the confidentiality of your data.
Industries We Serve
The annotation projects our data labelers serve are diverse. And below are examples of which industries we work with:
Healthcare
AI-driven medical solutions help doctors identify diagnoses quickly and accurately. The same way our annotators label your radiology, CT, or other images: they're fast and careful at work.
Insurance
We teach your algorithms to identify various car damages and automate making decisions. Our labelers typically use bounding boxes and 3D cuboids to place relevant tags.
Finance
In addition to human-like chatbots, some banks also use face recognition technologies. AI helps them verify the identities of people who withdraw money from ATMs.
Government
Terabytes of governmental data need classification and structuring. And artificial intelligence copes with the task much faster than humans. We value the trust to our data annotators and always prioritize the data privacy and security of every client.
Agriculture
Knowing when it's time for fertilizing and harvesting, monitoring plants’ health, and deciding on using pesticides are critical for agricultural companies. And professional image annotation helps them save thousands of dollars.
Security
Computer vision empowers security cameras with the ability to identify potential threats. This way, AI algorithms can warn security personnel and help them prevent violence or similar problems.
Retail and e-commerce
Online shops use tagged images of clothes and other products to help buyers find their goods. Accurately marked pictures are part of their marketing efforts.
Legal
ML projects that help identify text on images support lawyers during preparation for courts. Machines process megabytes of pdf files for people, freeing them for human-needed tasks.
Self Driving
Annotation teams stand behind such trendy projects as autonomous vehicles. That's how the accuracy of labels on pictures and videos directly impacts the safety of people.
Human Annotation Types and Techniques We Use
These are the text, audio, image, and video annotation types that our specialists can do for you:
Bounding Boxes
Data annotators limit objects with 2D boxes. This approach is used, for instance, to categorize stock images, check shelf inventory levels, assess the damage to a car, map the environment, etc.
Polygonal Segmentation
Data annotators use polygons when customers need to identify non-cuboid objects on aerial images. Specialists place dots on object peak points and then connect them with lines.
Entity Annotation
When it's necessary to mark proper names or keywords, we use entity annotation. And to give users additional information about the word or phrase, text annotators use entity labeling. This means they add links to external databases.
Semantic Segmentation
Tagging every object or area of an image with predefined labels is widely used for autonomous driving. Moreover, this technique allows AI-driven medical software to analyze CT scans and X-ray images.
Lines and Splines
This technique identifies road markings and traffic signs that help self-driving cars avoid accidents. Also, it allows warehouse robots to move and place items safely.
3D Cuboids
This annotation type's use cases are similar to bounding boxes except for adding depth to objects. Once the object edges are hidden behind other objects, labelers approximate them and teach AI to do the same.
Landmark and Key-Point Annotation
This method is also called pose estimation or dot annotation. Labelers use dots and lines to create the skeleton of a person or part of a body. Placing a sequence of key points on face images empowers face recognition algorithms.
Linguistic Annotation
You'll use our linguistic annotation services to separate intonations, pauses, parts of speech, or other grammar elements. This approach is similar to entity annotation but considers different elements in a text.
Content and Text Categorization
With this method, you can classify entire paragraphs or texts. For example, this technique can help lawyers categorize hundreds of documents and save hours.
How You Can Order Data Labeling and Annotation Services
When you decide to outsource our data annotation machine learning services, you’ll need to:
Send us the form below
In it, we'll ask you to write the approximate size of your team and the planned project length. Our managers will contact you soon to ask for more details.
Share your project requirements
You'll need to tell us more about the project specifics, volumes of raw data, and terms. This will help us recommend the most effective cooperation format.
Get an estimate and offer from us
We calculate the estimated budget for your case. It includes payrolls, local taxes, office rentals, etc. Upon your confirmation, we initiate the search.
Pay the invoice & start the collaboration
As we have all applicants ready, we will issue an invoice. As soon as you settle it, we will begin hiring the candidates.
3 Cooperation Models for You
Do you think we’re the best annotation company for AI projects you run? Then check how we can work:
Managed Human Annotation Service Team
Big data projects require stable ongoing processing of large volumes of data. And if you choose us as your image annotation company, we ensure to assemble a managed team of data labelers dedicated to your project. They will be quick learners and top experts in your niche.
Part-Time Human Annotator Dedicated to Your Project
This option will be ideal if you start a small project and need limited linguistic annotation services. You’ll pay only for the agreed number of hours, saving your budget. The part-time data annotator will be dedicated to your project and have expertise in your niche.
Full-Time Human Annotation Specialist Fully Dedicated to Your Project
When, for instance, you want to outsource video annotation services of one specialist for the entire working day, pick this model. You’ll pay a fixed monthly fee. However, if you want to hire one person for two or more projects, we’ll need to discuss this.
FAQ on Human Annotation Services
It can take from 2 to 6 weeks on average. The process will depend on the number and industry of expertise of your future team members. Also, you’ll need to pay the invoice before we proceed with onboarding your data labelers.
Yes. Once at some point, you’ll need to add more team members, we’ll discuss the details and initiate a new search. Once you confirm hiring the new candidates, we will send you a separate invoice. We will add these costs to your regular invoice starting the following month.
No. Our cooperation format assumes we get your approval on estimated project costs and start sourcing candidates without prepayment. Only when you confirm the final team composition will we issue an invoice. After you settle it, we’ll start the onboarding.
Sure, we hire only candidates that perfectly fit your requirements. So if, for instance, you need to annotate medical images, we’ll find data labelers with relevant education and background. This way, we ensure high quality, accuracy, and work speed.
The final number will depend on how many annotators you want to take on board. Their experience and our cooperation format will also impact the total cost. In addition, we add office rentals and necessary equipment, so it’s impossible to estimate project costs without knowing the details.