Why Appen?

Our project managers are passionate about the data analytics space and love to partner with solution providers to tackle the challenges of developing, tuning and evaluating the solutions, including the underlying linguistic components. We will work with you to find smart solutions for accelerating the expansion of your technology into new markets and domains. With over 20 years in the industry, Appen has worked with technology leaders to provide the high-quality data needed to improve their solutions.

Our data services


  • Crowdsourcing

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

  • Consultative Services

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

  • Linguistic Annotation

    Help train your machine learning model to better understand text so it can respond more accurately to human interaction.

  • Semantic Annotation

    Improve product listings and on site search with semantic annotation.

  • Speech Data Collection

    Use our curated global crowd to collect high quality speech data in over 180 languages and dialects.

  • Text Data Collection

    Collect millions of high quality data samples to ensure your solution meets the needs of your customers worldwide.

  • Translation and Localization

    Traditional translation and machine translation services from language and data experts.

Additional resources


Hand pointing at a laptop screen

Why Human-Annotated Data is Key to Machine Learning: Three Use Cases

Machine learning requires high volumes of data for training, validation, and testing. A machine learning model learns to find patterns in the input that is fed to it. This input is referred to as training data. As you train your solution to form relationships between variables, it’s important to have the right data, structured in the right format, covering all …

How LinkedIn Uses AI to Optimize the User Experience

Insights from AI NextCon 2018: How LinkedIn Uses AI to Optimize the User Experience

When it comes to building its AI platform, the LinkedIn team’s goal has been to make end-to-end machine learning easy, fast, robust and automatic.

Securing resources to improve relevance score of news items in social news feed

Delivering Personalization to a Global Market [Case Study]

Consumers want more relevant content. Appen helped a company improve the personalization of its news feed and deliver to their global user base.

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