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.


    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

Common Sense in Artificial Intelligence Making Deep Learning Technologies More Human

Common Sense AI: Making Deep Learning Technologies More Human

Whether through devices we use to enable convenience at home or in the way products we use all the time are manufactured, AI’s impact is everywhere, driving innovation in just about every aspect of our lives. But there are missing pieces to this puzzle that still cause frustration for end-users and present significant challenges for researchers trying to improve how AI technology performs.

Engineers working in an office

How to Remove Bias in Training Data

Machine learning (ML) algorithms are generally only as good as the data they are trained on. Bias in ML training data can take many forms, but the end result is that it can cause an algorithm to miss the relevant relations between features and target outputs. Whether your organization is a small business, global enterprise, or governmental agency, it’s essential …

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 …

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Improve your training data

Scale your machine learning with high-quality training data. Talk with one of our experts today.

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