Test our service to decide whether we are a match for your project

How It Works In 4 Steps

Step 1: Submit Your Raw Material

Fill in Contact Form and upload your raw material—whether it’s text, images, video, or audio—directly to our secure platform. You can submit up to 100 files for your free test annotation.

Step 2: Initial Assessment

Our team of experts will review your submission to assess the complexity of the annotation task. If we determine that the annotation will be time-consuming, we may reduce the number of raw materials to be annotated. However, for more common tasks like text annotation, bounding boxes, polygons, keypoints, etc., you can expect all 100 files to be annotated.

Step 3: Annotation Process

Our team of expert annotators will get to work, meticulously labeling your data according to your specifications. Before delivering your annotated data, we perform rigorous quality checks to ensure the highest level of accuracy.

Step 4: Receive Your Annotated Data

We’ll send you a link to download your annotated data. Review it and see the quality of our work for yourself!

    (max file size 5MB; allowed extensions: doc, txt, pdf, docx)

    *All Data shared with RemoteLabeler.com through this online form is automatically considered as confidential information and won't be shared anywhere.

    Reasons To Request Free Annotation

    By taking advantage of our free annotation service, you’re setting the stage for a successful, long-term partnership that can help you achieve your project goals more effectively and efficiently.

    Risk-Free Evaluation

    Our free annotation service allows you to evaluate the quality of our work without any financial commitment. You get to see firsthand how we can add value to your project.

    Expertise at Your Fingertips

    Our team consists of highly skilled annotators specialized in various types of data annotation. This free test gives you a glimpse of our team’s expertise and the high standards we maintain.

    Fast Turnaround Time

    Time is of the essence in any project. Our free annotation service is designed to be quick and efficient, allowing you to move forward with your project without unnecessary delays.

    Data Security and Confidentiality

    Your data is invaluable, and we treat it with the utmost care. Our free annotation service is governed by strict data security protocols, ensuring your information is handled confidentially and securely.

    Insight into Our Workflow

    Get a sneak peek into our streamlined annotation process, from initial assessment to quality checks. This will give you a clear idea of what to expect when you decide to scale your project with us.

    No Hidden Costs

    What you see is what you get. Our free annotation service comes with no hidden costs or obligations, giving you complete freedom to make an informed decision for your larger project needs.

    Data Annotation: An Overview & Importance

    Data labeling or data annotation is the most fundamental process of the artificial intelligence (AI) and machine learning (ML) industry. With the expansion of the AI and ML industry, the size of the coding, labeling and structuring data industry is also swelling exponentially. According to Grand View Research forecast, the global revenue of data labeling AI industry will reach $3.4 billion in 2028 from just $629.5 million in 2021 with a whopping growth of 27.1% CAGR over the forecast period. The demand for a data rating and labeling contractor and an expert data manual labeling has also increased significantly across the globe, especially for building dedicated teams in remote IT outsourcing hubs.

    Data annotation is a process of categorizing and labeling the attributes of data in the form of text, audio, video, images, and other forms of input used in the machine learning (ML) and computer-vision artificial intelligence (AI) application. The main purpose of data labeling and classification, commonly known referred to as data annotation, is to build data-sets for training the computer-vision and machine learning algorithms of software applications to clearly understand the input data so that a suitable automated action can be performed for generating the desirable and accurate outputs.

    Different models of using different types of procedures to label data such as automated labeling, human-powered annotation, and others. The use of human-annotated data is more accurate and reliable as compared to automated annotation. Thus, a big data labeling company as well as other companies dealing in AI always prefer to use data entry services for human-annotation of the data.

    What Types of Labeling and Data Annotation Services
    Do We Offer?

    We are an expert data annotation firm with a knack for recruiting a diverse set of data annotators and labelers to meet our clients’ needs. Below are some of the key services we provide through our specialized agency focused on human resource recruitment for data labeling tasks:

    Image Labeling and Processing

    Our skilled data annotators, whom we recruit for your projects, excel in creating AI datasets for image recognition in machine learning and artificial intelligence applications. Our image annotation services enhance the realism, precision, and user interaction of computer-generated outputs.

    Text Labeling

    Text annotation is crucial for natural language processing (NLP) applications, making them more responsive and human-like. The expert annotators we recruit for your projects help you achieve this objective effectively.

    Video Labeling

    Optical Character Recognition (OCR) in video data is essential for the application’s accurate performance. The specialized professionals we recruit for OCR validation and labeling enable you to develop high-quality computer vision applications with increased accuracy.

    3D Point Cloud Labeling

    The effectiveness and reliability of remote sensing technologies like Light Detection and Ranging (LiDAR) in AI and robotics hinge on quality 3D point cloud annotation. Our tech-savvy data annotators assist you in enhancing the deep learning capabilities of your LiDAR applications.

    Audio Labeling for Speech Recognition

    We offer audio annotation services that focus on accurate sentiment analysis and other attributes. The experts we recruit for outsourced audio transcription make the audio input in your applications more effective, leading to precise output.

    Semantic Segmentation

    Semantic segmentation involves detailed image analysis for deep learning, aiming to understand finer image attributes for more precise results. We recruit specialists in image categorization and labeling who help you attain professional-level accuracy in this field.

    Polygon Labeling

    Polygon annotation provides a more detailed description of object images from multiple viewpoints, allowing for a highly accurate object shape representation. We recruit specialized annotators to offer you the most precise polygon annotation services.

    3D Cuboid Labeling

    We recruit highly focused and competent data annotators and labelers capable of delivering professional-level 3D cuboid annotation, making your automated image processing tasks more efficient and reliable.

    Experience the quality, expertise, and speed that Remote Labeler has to offer. We’re excited to work with you!