Urgent Opening For Korean Language Expert

  • icon job experience 0 - 4 Years
  • icon job opening 5 Openings
  • icon salary 4.5-6.5 Lac/Yr
  • icon job location Noida Sector 2
  • icon job posting Posted 37 days ago
  • Face-to-Face interview Face-to-Face interview
Key Skills

Korean

Job Description

Cogito having a strong presence in USA and its delivery center in Delhi NCR, India, specializes in Human Empowered Automation. Our mission is to help our customers innovate and scale by solving their day-to-day data needs. Using our skilled on-demand workforce, we partner with Machine Learning, Artificial Intelligence, Technology and eCommerce clients to develop high-quality data sets used to build and enhance various cutting-edge business applications.

Roles and Responsibilities.

We are looking for South Korean Native Culture language experts.

Job Location: Sector 2, Noida

Job Type: Full Time

Direct walk in interview details:

Address: Cogito, A-83, Sector 2, Noida

Interview Dates: 6th to 8th Jan'25

Interview Time: 9:00 am to 5:00 pm

Contact @ Tara (HR)

Salary: (As per your current CTC and work experience -Negotiable)

Regards

Team HR
  • Experience

    0 - 4 Years

  • No. of Openings

    5

  • Education

    Advanced/Higher Diploma, B.A, B.Arch, B.B.A, B.Sc, Any Bachelor Degree, Post Graduate Diploma, M.A

  • Role

    Language Expert

  • Industry Type

    Call Centre / BPO / KPO / ITES / LPO

  • Gender

    [ Male / Female ]

  • Job Country

    India

  • Type of Job

    Full Time

  • Work Location Type

    Work from Office

  • Face interview location

    Cogito, A-83, Sector 2, Noida

About Anolytics

As a full-stack workforce solution provider, Anolytics has been hailed as one of the top AI training data developers with a knack for data annotation, labeling and natural language processing (NLP). The AI development lifecycle needs the AI training data for teaching machine learning models, computer vision systems, and AI algorithms the necessary automation inputs. Anolytics specializes in developing high-quality AI training data through sorting, filtering and segmenting raw datasets, i.e., unstructured images, videos, texts, and audio data.
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