Top Data Annotation Companies in the USA: 2025 Edition

AI systems become more advanced and widespread. Today, they power everything – from e-commerce search engines and financial transactions to chatbots and even medical diagnostics. However, every AI application relies on vast volumes of accurately labeled data. Without precise AI data labeling, even the most sophisticated algorithms fall short. Annotated data enables AI to recognize pedestrians on the road, help chatbots understand human intent, or spot anomalies in radiology scans. So, the need for accurate, large-scale AI data annotation has skyrocketed and will keep growing. The market is expected to grow to USD 29.2 billion by 2032, increasing about 28.5% each year from 2024 to 2032.

AI applications become more complex, and the demand for training data is also growing. It’s no longer enough to label images or text. Modern AI systems need 3D point cloud annotation for self-driving cars, video labeling for action detection, and industry-specific expertise. It directly depends on the data labeling company how well your AI model will perform. But how do you choose the right partner for data annotation tasks who delivers quality, compliance, and turnaround? This article presents a curated list of the top data annotation companies in the USA that are setting the standard in 2025.

What are data annotation services?

Data annotation is the process of labeling raw data like images, text, video, or audio. Then, AI and machine learning models use these annotations to understand and learn from them. Simply put, it’s teaching machines to see, read, and interpret the world.

For example, annotating a street scene involves drawing boxes around pedestrians, cars, and traffic lights to help train a self-driving car. In healthcare, it means highlighting areas in a medical scan to teach an AI to detect anomalies.

These labels make AI systems smart and accurate. High-quality annotation helps these models perform well in real-world conditions. That’s why businesses often turn to top data annotation companies that can deliver precise, scalable, and secure datasets.

Who needs AI data annotation services?

Are you a startup, enterprise, or research lab, building AI? You likely need professional data annotation services. Any organization developing machine learning models relies on large volumes of accurately labeled data to train and fine-tune their algorithms. Here are just a few examples of who needs these services:

• AI startups that need to move fast but lack in-house annotation teams.
• Enterprises scaling AI across different departments.
• Research institutions working on complex, data-heavy models.
• Healthcare and finance companies that need domain-specific, compliant annotations.
• Autonomous vehicle developers that require precise 3D labeling and video sequence data. 

Leading data labeling companies in the USA 

You will find many companies that offer data annotation services, but they all differ. Accuracy, speed, domain expertise, and data security vary from one provider to another. 

Tinkogroup 

Founded in 2016  Tinkogroup has established itself as a trusted provider of high-accuracy data annotation services for AI and machine learning applications. The company offers all types of data annotation, labelling and entry, as well as research services worldwide. Their processes combine manual work and the use of tools like Labelbox, Dataturks, Datasaur, and Label-video.

Tinkogroup claims up to 99% annotation accuracy and has been recognized as one of the top data annotation companies for 2024 by Clutch.

Core services:

• Data annotation. Image, video, text, and natural language processing (NLP).
• Data entry and processing, including Shopify product uploads.
• Research support. Lead research, internet research, and email list building.

Pricing:

• The company offers both fixed-price and hourly rate pricing models for different project scales. A free up to 10-hour pilot project is available to demonstrate quality before committing.

Scale AI

Scale AI is one of the top data annotation companies in AI infrastructure. Founded in 2016 in San Francisco, US, it works with major tech firms, governments, and defense organizations and helps them build better AI. Scale combines human annotators with smart tools to label large volumes of data quickly and accurately – they have made 13B annotations to date!

Its platform, Scale Data Engine, supports everything from image and video labeling to text, audio, and 3D sensor data. Scale also offers tools for testing AI models, generating synthetic data, and managing the full machine learning workflow. 

Core services:

• Data annotation. Images, video, 3D LiDAR, text, and audio.
• Model testing and evaluation (including for LLMs).
• Synthetic data generation and AI development tools.

Pricing:

• Scale AI offers custom pricing based on each project’s size and needs. Prices are not listed publicly.

Label Your Data

Label Your Data was founded in Kyiv in 2019 and quickly grew. Currently, the company has offices in the US and EU and employs 1000+ annotators. The provider offers in-house data annotation services along with a user-friendly platform that includes API access. They specialize in multimodal annotation and work with images, videos, text, audio, and 3D point clouds. Their services support a wide range of industries, including healthcare, geospatial, autonomous vehicles, and e-commerce. Multi-step QA checks ensure 98 %+ accuracy.

In just 5 years, Label Your Data has earned more than 6 annual awards from platforms like Clutch and DesignRush.

Core services:

• Data labeling. Image segmentation, bounding boxes, keypoints, video tracking, named entity recognition (NER), sentiment analysis, and audio transcription.
• Data processing. Cleaning, structuring, and organizing data for ML training
• Improving ML models. High-quality annotations to fine-tune and improve machine learning model performance.

Pricing:

• The company charges $0.015 per object for keypoint annotations and $0.02 per entity for NLP tasks. Their hourly rate is $6 per annotator hour.

Hugo Inc.

Hugo Inc. is a global provider specializing in data annotation outsourcing, AI model training, and customer support services. The company has 4,000+ team members across the US and Africa and helps companies build and scale AI systems by providing accurate, human-labeled data. Hugo supports a range of industries, from e-commerce and fintech to healthcare and software, and is known for its flexible and collaborative approach.

Core services:

• Data annotation. Labeling of images, videos, text, and audio for machine learning.
• AI model support. Helping teams train and fine-tune AI models, including LLMs.
• Data processing. Organizing, cleaning, and preparing data for training.
• Customer support. Providing outsourced teams for customer service and back-office tasks.

Pricing:

• Hugo offers custom pricing based on the project’s scope. Dedicated team service starts at $11 per hour per agent.

Annotation Box

Annotation Box is a provider of top-of-the-line data annotation services for computer vision, data processing, and content moderation. The company has offices in the UK, the USA and India and 500+ annotation experts. Their data annotation services combine human expertise and smart tools. The company guarantees high-precision annotations with accuracy rates of not less than 95%.

Core services:

• All types of traditional annotation – image, text, audio and video.
• Medical annotation. Labeling for radiology, pathology, and other medical fields.
• Geospatial annotation. Labeling for satellite imagery and geographic information systems.
• Product categorization. Organizing and labeling products for e-commerce platforms.
• Data de-identification. Removing personal identifiers from datasets.

Pricing:

• Annotation Box offers three plans: an on-demand plan for occasional projects, a short-term plan for MVPs and pilot projects and a long-term plan for bigger projects. Our hourly rate for data annotation is $5–$7.

Anolytics

Anolytics is a US- and India-based data annotation company founded in 2018. They have 1,200 in-house experts and provide high-quality training data for AI, including images, text, video, and audio. Known for accuracy and affordability, they support machine learning, NLP, and computer vision projects across multiple industries. Anolytics accuracy level reaches 99.99%.

Core services:

• Image, text, audio and video annotation. Bounding boxes, semantic segmentation, transcription, sentiment analysis, and more.
• Product categorization. Tailored e-commerce labeling for inventory structuring and search relevance.
• Medical data annotation. Specialized annotation for radiology scans, diagnostics, and medical records.
• Content moderation. Filtering and labeling of user-generated content for safety and compliance.

Pricing:

• Anolytics offers affordable pricing that depends on project requirements. Clients can request a quote by submitting project details and sample files through their website.

Keymakr

Keymakr was founded in 2018 in Toronto. It’s one of the top data annotation companies that provides a full-cycle data annotation service, with a team of in-house annotators. Their services are built for complex use cases in industries like autonomous vehicles, smart cities, retail, waste management, and healthcare. Keymakr also offers a proprietary annotation platform – Keylabs – which allows clients to manage annotation workflows with advanced tools and quality controls.

Core services:

• Image and video annotation. Bounding boxes, polygons, semantic segmentation, cuboids, keypoints, and more.
• 3D Point cloud annotation. LiDAR labeling for autonomous navigation and spatial recognition.
• Data creation, collection and validation. Gathering new datasets tailored to specific use cases.
• Agricultural and aerial annotation. Specialized labeling for drone and satellite imagery.
• Custom projects. Tailored annotation teams, tools, and workflows based on client needs.

Pricing:

• Keymakr’s specific pricing information is not publicly available, but the company offers an expert consultation and a 7-day free trial.

How to choose the right data annotation company?

The success of your AI project seriously depends on the data annotation service you partner with. How to choose one of the top data annotation companies? Here is what you should check before signing a deal:

• Accuracy and quality checks. Look for a company that promises high accuracy and backs it with multi-step reviews and human oversight. Ideally, the accuracy level is 95% or above.
• Industry know-how. Opt for top data annotation companies that have worked on projects like yours. Domain experience can make a big difference.
• Scalability and speed. Always ask what volumes of work they can handle without losing quality. Providers with in-house teams usually perform better and quicker.
• Data security and compliance. If your project has sensitive data, make sure the provider follows strict standards like ISO 27001, SOC 2, GDPR, or HIPAA.
• Tools and tech. Look for modern annotation tools and platform integrations (e.g., CVAT, Labelbox, proprietary platforms).
• Transparent pricing. Always try to understand what it will cost you. Rates may be per object or per hour, but transparency is key.
• Responsive support and a free trial. Choose a team that communicates well and can adapt to your needs as the project evolves. Additionally, a free trial or test project is a great way to see their quality before going all in.

 

Trends in AI data annotation to expect beyond 2025

AI systems get more powerful and widespread, so the data annotation services are also evolving. How will top data annotation companies change in the near future?

One major shift is the move toward multimodal annotation. More AI models now require labeled data across different formats – images, video, audio, text, and 3D point clouds – all in the same workflow. This means annotation teams will need to handle more complex tasks and tools.

We’ll also see more automation in annotation. AI-assisted tools will deal with simple, repetitive labeling, and humans will ensure accuracy, handling edge cases, or providing context that machines miss.

Another growing trend is the use of synthetic data. These are computer-generated images or scenarios that can supplement real-world data. Still, this data needs to be checked and validated, creating new tasks for annotation teams.

Governments introduce more AI regulations, and data privacy and compliance will become even more important. Companies will need partners who follow strict standards like GDPR, HIPAA, and ISO certifications.

In short, top data annotation companies are becoming more technical, collaborative, and critical to building trustworthy AI.

To learn more about data annotation, find extra insights on our blog:

https://tinkogroup.com/nlp-data-labeling/

https://tinkogroup.com/computer-vision-annotation-tool/

The Tinkogroup team will transform your data into well-structured databases. We prioritize precision, speed and dedication when it comes to data annotation. Ready to discuss your project requirements? Contact us today for a consultation and discover how we can accelerate your AI project.

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