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Appen is the world’s leading innovative technology company, providing high-quality language and data services for machine learning and artificial intelligence. Appen is headquartered in Sydney, Australia and has subsidiaries in United States, United Kingdom, Philippines, and China. Appen has more than 20 years of experience in collecting and processing a variety of data, including data types such as speech, text, and images, etc. Appen has a pool of more than 1 million prequalified crowd resources around the world able to provide data collection and processing services in more than 180 languages. Appen’s client include global leaders in high-tech, automotive, e-commerce, etc. and governments to help them develop and improve products and technologies based on natural language understanding and machine learning. Appen is listed on the Australian Stock Exchange with stock code: APX
Artificial Intelligence is transforming the world in almost every industry. Everyone knows only good training data can produce the best machine learning solutions. However, creating training data with high quality in a scalable way is very challenging, and very few companies can do it. The whole AI world is starving for great training data. Appen has been the market leader in the training data generation field for more than 22 years. It generates all kinds of training data like content relevance, image & video, text & audio, as well as data capturing.
The Appen Tech team is solving the AI data problem by combining the power of humans and technology. This world-class and exciting engineering position awaits a qualified candidate who will join Appen’s data science team.
We are seeking a summer intern of speech engineer with hands-on expertise in speech processing, speech recognition, software development, and machine learning to build AI solutions to improve millions of annotators’ efficiency at scale. You get the opportunity to work with our global tech team from Shanghai, Silicon Valley, and Sydney. It is a leading data company with a start-up culture. And we only want people who want to make a huge impact on the AI world instead of just a job!
- Develop speech processing algorithms for automating manual annotation tasks, which includes speech separation, speech detection, speech segmentation, speech recognition, speaker diarization and speaker recognition, etc.
- Work with the teams to build human-in-the-loop AI/ML solutions in speech processing and speech recognition domain to improve annotation efficiency and quality.