Part-time in Mnor Languages Part-time in Mnor Languages

Job ID: 1355047179
Date Updated:Oct 18
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Recruiter: Dataocean AI
  • Work City : Beijing
  • Salary Range : 20 - 30 CNY /Month
  • Work Experience :No Experience
  • Job Type :Part Time
【Job Description】
1.Responsible for the labeling of some foreign language projects
2.Assist in refining project rules and answer questions about local linguistics
3.Assist the person in charge to organize project data
【Job requirements】
1.Native speakers of global languages are preferred
2.Have a relevant linguistic background, or some experience with labeling
3.You can work online, and there are no working hours
【Salary】Pay-as-you-go
It can be talked about according to the content and difficulty of the work

Job highlights
Work from home opportunities Flexible working hours

  • Dataocean AI

  • Recruiter Type: Employer
  • Current Location: Beijing China
  • About us
    DataOcean AI (stock code: 688787), founded in 2005, is one of the earliest AI training data solution providers in China.

    As the first listed enterprise in AI training data domestically, DataOcean AI is committed to providing AI datasets and services for AI enterprises and R&D institutions.

    DataOcean AI provides multilingual, cross-domain, multimodal AI datasets and related data services for all enterprises in the industry. Services covers core domains like smart voice (voice recognition, voice synthesis, etc.), computer vision, and natural language, covering about 200 main languages and dialects around the world.

    The company has been actively involved in the industry for nearly two decades and has developed close to 700 deep partnerships with leading IT companies, academic institutions, and emerging AI enterprises. It has delivered thousands of customized projects successfully and gained the deep trust of customers by focusing on competent, dependable, and safe data services. The company’s superior resources which cover 190+ languages and dialects in more than 70 countries, as well as its technologically leading algorithm R&D team and well-experienced project teams, are valuable assets of the company that contribute to the overall successful implementation of frontier AI projects around the world.
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