[Summary] Promoting the realization of educational equity
Liulishuo® is a technology-driven education company co-founded by Dr. Wang Yi, Hu Zheren, and Dr. Lin Hui in September 2012. As an advocate of intelligent education, Liulishuo boasts an outstanding artificial intelligence team. Over years of accumulation, Liulishuo has built a massive "Chinese English Speech Database," which, as of June 30, 2022, has recorded approximately 4 billion minutes of conversations and 53.7 billion sentences of recordings. Based on this, the company has independently developed excellent English oral proficiency evaluation, writing scoring engines, and a deep adaptive learning system, committed to providing users with a comprehensive systematic English learning solution that enhances users' English proficiency across listening, speaking, reading, and writing, and has obtained multiple intellectual property rights.
Liulishuo® offers English education apps including "Liulishuo® English" and "Liulishuo® Reading," as well as English learning products such as "Liulishuo® Danni English®" and "Liulishuo® Pronunciation," to further meet the needs of segmented user groups. As of June 30, 2022, the cumulative registered users reached 216.5 million.
Adhering to the mission of empowering everyone to achieve their greatest potential, Liulishuo will continue to promote the realization of educational equity, enabling more people to enjoy the personalized convenience and efficiency brought by AI education through English learning, providing innovative and differentiated products and services, and continuously improving users' learning experience. This is our unswerving pursuit.
What does Shanghai Liulishuo Information Technology Co., Ltd. require? Who is Liulishuo hiring? Liulishuo recruitment: 客户服务类占比最多占70%,其次是销售类占29%. What education can get in at Liulishuo? 大专占比最多占74%,其次是本科占16%. High education required at Liulishuo? 硕士占1%. Work experience required at Liulishuo? 不限占比最多占71%,其次是1-3年占20%. Where are the job locations at Liulishuo? 上海占比最多占36%,其次是成都占27%. Based on job postings from the past year, for reference only.
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