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Training Data provides a full cycle of work on the collection and markup of text materials for the development and training of AI speech models and digitization systems

NLP (Natural Language Processing)
in machine learning

Is the process of annotating video data to prepare them for use in neural network training tasks. In the process of video annotation, various objects or events are usually identified and marked or tagged, as well as their properties or characteristics. The labeling may include information about the position, class, shape, movement, and other attributes of objects in the video


Entity Recognition

Identification and classification of specific elements, such as names, locations, dates and other significant attributes, in structured or unstructured data

Sentiment analysis

Definition and classification of the emotional coloring of textual information for the recognition of positive, negative or neutral shades, as well as for monitoring public opinion


Preparation of datasets for training NLP and NLU models, with built-in personalization functions, tonality analysis, recommendation systems and feedback

Evaluation of GPT responses

Checking the quality and accuracy of the generated responses to improve the performance of GPT models, taking into account the feedback of real users and the norms of public safety and ethics


Working with texts in 40+ languages, moderation of automatic translations, transcription and voicing of texts by native speakers and people with the necessary accents


Collection and processing of text information from sites and marketplaces of interest for market research, competitive analysis, forecasting and improvement of know your client systems

Stages of work

  • Application

    Leave a request on the website for a free consultation with an expert. Th e acco unt manager will guide you on the services, timelines, and price
  • Free pilot

    We will conduct a test pilot project for you and provide a golden set, based on which we will determine the final technical requirements and approve project metrics
  • Agreement

    We prepare a contract and all necessary documentation upon the request of your accountants and lawyers
  • Workflow customization

    We form a pool of suitable tools and assign an experienced manager who will be in touch with you regarding all project details
  • Quality control

    Data uploads for verification are done iteratively, allowing your team to review and approve collected/annotated data
  • Post-payment

    You pay for the work after receiving the data in agreed quality and quantity


  • 24 hours
  • 24 hours
  • 1 to 3 days
  • 1 to 5 days
    Conducting a pilot
  • 1 day to several years
    Carrying out work on the project
  • 1 to 5 days
    Quality control
You pay for the work after you have received the data
in the established quality and quantity

Training Data

  • Quality Assurance:
  • Enhanced Data Accuracy
  • Consistency in Labels
  • Reliable Ground Truth
  • Mitigation of Annotation Biases
  • Cost and Time Efficiency
  • Data Security and Confidentiality:
  • GDPR Compliance
  • Non-disclosure agreement
  • Data Encryption
  • Multiple data storage options
  • Access Controls and Authentication
  • Expert Team:
  • 6 years in industry
  • 35 top project managers
  • 40+ languages
  • 100+ countries
  • 250k+ assessors
  • Flexible and Scalable Solutions:
  • 24/7 availability of customer service
  • 100% post payment
  • $550 minimum check
  • Variable Workload
  • Customized Solutions

Tell us about your project!

    Choose interested services:

    Select an option

    • Data labeling

    • Data collection

    • Datasets

    • Human Moderation

    • Other (describe below)