AI Training Data – Quality Data for Your Algorithm

AI training data forms the foundation for developing and refining AI models. If you want your algorithms to provide human-like results, they need human interaction. Our AI training data services focus on computer vision and conversational AI. Learn more and buy quality AI training data.

Our AI data services are offered in cooperation with our parent company LXT

AI Training Data for Machine Learning

AI Data Services

With our crowd of over seven million, we can help you maximize your algorithms’ potential by generating, labeling, and validating unique AI datasets tailored specifically to your needs. We can also provide a solution that allows you to quickly analyze your AI’s output.

See the variety of AI training data expertise we offer:

GenerationLabeling/AnnotationTranscription & Validation
AudioAudio GenerationAudio LabelingAudio Validation
ImagesImage GenerationImage LabelingImage Validation
VideoVideo GenerationVideo LabelingVideo Validation
TextText GenerationText LabelingText Validation

Generate AI Training Data

Label/Annotate Data

Transcribe & Validate Data

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Generate Training Data for AI

Collecting large amounts of high-quality AI training data that meets all the requirements for a specific learning objective is often one of the most difficult tasks while working on a machine learning project.

For each individual project, LXT+clickworker provide you with unique and newly created AI datasets, such as photos, audio, video recordings and text to help you develop your learning-based algorithm.

Label & Annotate AI Training Datasets

In most cases, well-prepared AI training data is only attainable through human annotation. Labeled data plays an essential role in the successful training of machine learning algorithms (AI).

Through our international crowd of over 7 million Clickworkers, we tag and annotate text, images, audio, and video at scale — always aligned with your specifications. Our experts can also validate and refine your existing datasets, or evaluate algorithm output using human logic.

For sensitive projects, LXT offers secure annotation within dedicated facilities. Trained specialists handle data under strict access controls, meeting enterprise requirements for confidentiality and compliance (e.g. SOC 2, GDPR, HIPAA).

Label & Annotate AI Training Datasets
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Transcribe and Validate Data

Whether you’re building voice assistants, enhancing video captions, or training ASR systems, high-quality transcribed data is essential – and automation alone isn’t enough. Gain access to a global network of native speakers, scalable workflows, and customizable annotations – all designed to boost accuracy, reduce bias, and accelerate your AI deployment. From speech and video to image and post-editing, we provide the right data to help you train and validate AI every time.

Secure AI Datasets

Unlock the full potential of AI and stay ahead of regulatory demands. Our secure data processing services help you build powerful machine learning models using compliant, protected data. Whether you’re handling sensitive personal information or navigating complex privacy laws such as GDPR and HIPAA, we can streamline your data pipeline, allowing you to prioritize innovation over risk.

Secure AI Datasets
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Benefits of AI Training Data

Why choose LXT+clickworker to prepare data for your AI model? We help you create new and relevant data for your specific purpose – scalable and fast:

  • AI training data created specifically for your needs
  • Wide variety of AI datasets due to a large and globally distributed crowd
  • Data harvesting and evaluation by humans
  • Combination of raw AI training data generation + tagging and annotation services
  • Unlimited usage rights of all AI training datasets
  • API integration available

What our Customers say about our AI Training Data Services

We are constantly optimizing our AI systems in the field of mobile communication and virtual assistants. clickworker is the ideal partner and helped us quickly obtain AI training data in the form of possible questions formations for training of our AI systems. Recently, 1,000 predefined questions were paraphrased between 100 and 200 times by Clickworkers. This AI training data was essential!

Training data for machine learning - TMobile
Training data for machine learning - Unbotify
Training data for machine learning - TennisPoint
Training data for machine learning - WeFi
Training data for machine learning - Elbit Systems
Training data for machine learning - Sharewise
Training data for machine learning - Bosch

AI Datasets for Machine Learning – FAQ

What is AI training data?

AI training data refers to the collection of information used to train artificial intelligence (AI) models. This data can come in a variety of forms, such as text, images, video or numerical data, depending on the type of AI model being developed. The purpose of training data is to provide a rich set of examples from which the AI can learn to understand patterns, make predictions, or perform tasks. The quality and quantity of training data has a significant impact on the performance of the AI model, as it relies on this data to learn how to make decisions or produce results accurately. Essentially, AI training data acts as the foundational knowledge that an AI system uses to develop its capabilities.

Which database is used to train a machine learning model?

In machine learning, the process typically involves dividing your data into at least two key datasets:

  • Training dataset: This is the dataset used to train the machine learning model. It includes both the input variables (features) and the corresponding output variables (labels or targets). The training dataset allows the model to learn the patterns in the data by adjusting its parameters to minimize the difference between its predictions and the actual results.
  • Test dataset: After the model has been trained on the training dataset, the test dataset is used to evaluate the performance of the model. The test dataset is separate from the training dataset and has not been seen by the model during training. This dataset also contains both input variables and the corresponding outcomes. Evaluating the model on the test dataset provides an estimate of how well the model is likely to perform on unseen data.
A third type of dataset is often mentioned, known as the Validation Dataset, which is used to fine-tune the model parameters. This helps to avoid overfitting the model to the test dataset.

Which database management system is best for machine learning?

One of the most commonly used database management systems for machine learning is the MySQL relational database. The reason it's so common is because of its ease-of-use and affordability, as well as the fact that it's a relational database. The SQL language is simple, which makes it easy for developers to learn the basics of machine learning without much effort or study.

What are the main AI data types?

AI training data can be divided into four main types:

  • Visual data - graphics, photos and videos
  • Audio data - voice and speech recordings
  • Textual data - linguistically relevant characters, words, sentences
  • Numerical data - numbers and measurements
AI training data can be used as raw data or as labeled, tagged, or annotated data, depending on the training and learning methods and objectives.

Where to get training data for machine learning?

It depends on the specific use case. You can use publicly available data and datasets or create your own dataset with historical records. If the training data needs to be more specific and professional you should contact an AI & ML training data provider like LXT+clickworker.

What makes a good AI dataset for machine learning?

A good AI dataset for machine learning would be one that contains a lot of data and is well structured so that the machine learning algorithm can easily learn from it. High quality AI datasets in large quantities are the basis for successful AI and machine learning training. If possible, you should also collect individual, newly created data to create a unique dataset that cannot be copied by your competitors. A common dataset for machine learning is the Netflix dataset.

Can I have sensitive AI training data annotated securely?

Yes. For projects involving sensitive or regulated data, LXT+clickworker provide secure annotation within dedicated facilities. Here, vetted specialists work under strict access controls, with infrastructure compliant with SOC 2, GDPR, HIPAA, and ISO 27001. This ensures your data is processed accurately while meeting enterprise confidentiality and compliance requirements.

How is AI training data priced?

Pricing for AI training data depends on how much data you need, the type of language and whether it is tied to a subscription or a one-off fee. The price can be determined by the amount of data you need, or by the size of your budget. It depends on a number of factors such as project size, complexity, customer and system requirements, and is determined on a case-by-case basis. If you are interested in this service, please contact LXT or clickworker directly.

Our Expertise on AI Training Data Services

Download Our Expert White Papers for Free

Harnessing over a decade of experience, clickworker specialize in delivering high-quality and diverse AI training data for industry-leading machine learning and AI solutions.

Our white papers provide actionable insights, proven strategies, and practical solutions for overcoming the challenges of training AI systems.

Datasets for Voice bot training - White Paper

White Paper: Voice Bot Training

We explain the challenges involved in training chatbots, and demonstrate how to successfully overcome them.

Datasets for Machine Learning - White Paper

White Paper: Achieving AI ROI

clickworker’s experience of successful customer AI training projects and the importance of high-quality and diverse AI training sets.

Podcasts with CEO Christian Rozsenich – AI in Business

Are you looking for real insight? Find out more about the role of crowdsourcing in training data for AI and listen to the interviews with clickworker CEO Christian Rozsenich.

Case Studies

We derived case studies from real projects. These live ai training data examples can help you define your own microtasks for machine learning.

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