For machine learning models to be the most effective, they need large volumes of high-quality training data



How we help


Your machine learning models need training data to make sure that your algorithms are continually optimized. But not just any data – they need large, high-quality, human-annotated datasets. Humans are simply better than computers at managing subjectivity, understanding intent, and coping with ambiguity.

Appen’s global, curated crowd allows you to collect the amount of quality data samples needed to optimize your algorithm, in your desired timeframe. Leverage the Appen Global platform to gain efficiencies in your data collection efforts and gather large volumes of high-quality datasets to quickly train your machine learning model.

We help you enhance the following solutions


  • Applications

    Use our global curated crowd to ensure your applications work effectively for customers around the world.

  • Automatic Speech Recognition

    Improve customer interactions with Automatic Speech Recognition systems by training them to better understand human language.

  • CEM/CRM

    Build CEM and CRM solutions with stronger data analytics capabilities.

  • Computer Vision

    Develop computer vision solutions that recognize images and video as well as humans do with high quality, human annotated data.

  • Consultative Services

    We work closely with your team to develop a customized program that addresses your unique business challenges.

  • Crowdsourcing

    With Appen's skilled global crowd, you can quickly and cost-effectively scale your program to better meet customer needs.

  • Data Analytics

    Use Appen's services to build robust data analytics systems more quickly.

  • Machine Translation

    Drive higher customer satisfaction with automatic translation capabilities that are highly accurate.

  • Proofing Tools

    Develop more accurate proofing tools with high quality linguistic services.

  • Search Relevance

    Return more relevant search results be regularly training your machine learning model with high-quality data sets.

  • Semantic Search

    Improve your semantic search capabilities with training data that provides user intent and context.

  • Social Media

    Meet your users' demand for more relevant, personalized content. Train your algorithm with high quality data to increase user satisfaction.

  • Social Media Analytics

    Build social media analytics solutions that deliver more meaningful patterns and deeper insights.

  • Text-to-Speech

    Improve customer interactions with TTS systems that are fluent in every language.

  • Virtual Assistants and Chatbots

    Train your virtual assistant or chatbot to better understand and respond to human interaction, driving higher levels of customer satisfaction.

Additional resources


Artificial Intelligence and Machine Learning Adoption by Industry

Machine Learning Adoption by Industry: A Q&A with Stephen Woodard

As artificial intelligence and machine learning become a greater part of the business landscape, it’s interesting to see how different vertical industries are putting it to use. How does healthcare compare to the technology sector? Do geography and location play a role? To answer some of these questions, I caught up with our own Stephen Woodard from our business development …

Why data governance is vital for AI and ML

Why Data Governance is Vital for AI and ML

The Internet of Things (IoT) is a prime example that highlights why the quality and quantity of data are both critical for successful machine learning (ML) and artificial intelligence (AI) initiatives.

Key Considerations When Getting Started With Machine Learning

Key Considerations When Getting Started With Machine Learning

When implementing any strategic initiative, it’s important for organizations to build a considered plan upfront taking in a number of variables. This principle certainly holds true in the fast emerging areas of artificial intelligence (AI) and machine learning (ML).

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Improve your training data

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