Data Labeling Services in US

Data Labeling Services

Train AI Models You Can Trust—With Data That Meets Enterprise Standards

Scalable Data Labelling Services to Power AI and Machine Learning

As businesses expand their AI and machine learning initiatives, one consistent barrier remains: generating precise and scalable labelled datasets. Most organisations struggle with acquiring domain-specific data, managing labelling costs, and ensuring scalability as project scopes evolve. AI models fail to deliver the expected outcomes without accurate annotations, limiting business agility and automation potential. The right combination of skilled human annotators, efficient tooling, and a scalable framework for continuous data preparation is often missing.

EPIQ’s data labelling services solve these gaps. Our team delivers consistently annotated, high-quality datasets that allow ML algorithms to interpret and act on input data effectively. We adhere to industry best practices for labelling accuracy and comply with strict data privacy and governance protocols. With EPIQ, organisations can access secure, accurate, and flexible data labelling support, minimizing operational overhead while speeding up time-to-value for AI initiatives. Whether you’re building computer vision, NLP, or predictive analytics solutions, our data ensures your models are ready for production.

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Partner with EPIQ for Precision-Driven Data Labelling Services

We provide accurate, scalable data labelling Services to help you make the most of your data and AI/ML projects.

Data Labeling for Computer Vision Projects

Label and annotate images and video frames to train computer vision models for accurate object detection, classification, and scene recognition. Visual data annotation ensures that models can reliably identify and differentiate between various objects, features, environments, supporting use cases such as autonomous vehicles, healthcare diagnostics, and industrial monitoring. Clear & consistent labels help models learn patterns effectively.

Data Labelling for Natural Language Processors (NLP)

Tag parts of speech, named entities, syntactic structures, and semantic relationships to improve NLP model performance. Structured text annotation helps models understand and process human language accurately, even when sentence structures or vocabulary differ. Well-labelled datasets are essential for applications such as chatbots, sentiment analysis tools, and automated language translation systems across industries.

Audio Transcription for Speech Recognition

Convert audio into text and apply detailed labels to enhance AI model training for speech recognition. Accurate transcripts help models recognise various accents, speech patterns, and background noise. Proper annotation ensures better performance in real-world scenarios, supporting use cases such as virtual assistants, transcription services, and accessible technologies for different user environments.

Let’s Power Your AI Models with High-Quality Labeled Data

Any business building AI/ML models can benefit from our expert Data Labeling Services

We tag data with precision to support reliable, high-performing systems.

Retail & Ecommerce

Insurance

Finance and Banking

Healthcare

Automobile

Manufacturing

Robotics

Wildlife

Benefits of Data Labelling Services

Accurate Model Training

Enable your machine learning models to learn effectively with consistently high-quality, precise labels, ensuring accurate predictions and reliable performance.

Enhanced Data Value

Unlock deeper insights and support smarter decisions with data that’s well-organised, clearly labelled, and ready for advanced analysis and processing.

Effortless Scalability

Easily adapt to growing and changing data needs, allowing your AI/ML systems to scale quickly and deliver measurable results where they matter most.

Cost-Efficient Operations

Streamline your entire data labelling workflow at a competitive cost, maintaining high standards of accuracy without exceeding your budget.

Data Labelling Types

Single-Label Classification

Tag each image or text input with one clear label. Ideal for tasks where only one category applies per input, such as identifying a product type, sentiment, or topic.

Multi-Label Classification

Assign multiple labels to a single image or text input. This is useful when an item belongs to several categories at once, helping build models that understand complex or overlapping content.

Bounding Boxes for Object Detection

Draw rectangular boxes around objects in an image to identify and locate them. This labelling method supports object detection models used in applications like surveillance, autonomous driving, and retail analytics.

Polygon Annotation for Segmentation

Use polygon shapes to outline objects at the pixel level. This type of labelling enables high-precision models for semantic and instance segmentation, which is especially useful in medical imaging, autonomous vehicles, and industrial inspection.

Video Object Tracking

Label and track objects or regions across video frames. This method ensures consistent annotations through time, allowing models to understand motion and behaviour in real-world scenes — ideal for security footage, sports analytics, or robotics.

Why Choose EPIQ for Data Labelling Services?

Uncompromising Quality and Accuracy

Access expertly labelled, business-aligned, and regulation-compliant datasets to train AI/ML models with greater precision and efficiency.

Faster Turnarounds

By combining advanced AI tools with skilled human oversight, we ensure the timely delivery of accurately labelled data without cutting corners.

Competitive and Transparent Pricing

Our experienced team delivers consistent, high-quality data tagging services at pricing that balances cost-efficiency with performance.

Data Security You Can Trust

We maintain rigorous data governance with detailed audit trails and strict confidentiality protocols, ensuring full protection of your labelled data.

Scalable Solutions on Demand

Our tech-enabled workforce is ready to scale with your needs, handling high-volume, high-complexity annotation tasks seamlessly.

Strong Global Footprint

Headquartered in the US and supported by offices in India as well, we offer reliable, global delivery.

24/7 Client Support

Our team is available around the clock to answer queries, provide updates, and ensure smooth project execution, no matter your time zone.