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Kerja Sepenuh Masa, Annotation Associate (Korean Language) di HCLTech Federal Territory - Maukerja

Annotation Associate (Korean Language)

HCLTech

Undisclosed

KL City, Federal Territory

Kongsi
Simpan

Lokasi Kerja

  • Kuala Lumpur Federal Territory Malaysia

Penerangan Kerja

Tanggungjawab

Summary

As an Annotation Associate, you will be responsible for manually annotating and labeling data items for our client in the Data Annotation space. This role includes supporting various streams that are part of the team/project. You will provide day-to-day support to the project leads and the teams, ensuring the accuracy and reliability of data sets.


Responsibilities:

  • Manually annotate and label data items.
  • Verify the accuracy and reliability of data sets.
  • Create targeted sets to evaluate and improve judgment quality.
  • Annotate search results based on how well they satisfy user needs.
  • Verify annotated data and correct any errors.
  • Maintain records of completed work.
  • Ensure consistency in data annotation.
  • Provide feedback to improve data annotation processes.
  • Collaborate with team members to meet project objectives.
  • Analyze test results to identify areas of weakness and make recommendations for improvement.



Requirements:

  • A bachelor’s or master’s degree.
  • Open to fresh graduate OR with 1-2 years of working experiences in annotation OR content moderator.
  • Native OR Certified in Korean Language (TOPIC 4 or higher).
  • Proficient in English communication.
  • Excellent communication skills, verbal & written.
  • Experience with data labeling and categorizing.
  • A keen eye for detail to ensure accuracy in annotation.
  • Strong research skills to analyze the possible intents behind user search queries.
  • Ability to manage time effectively and meet deadlines.
  • Ability to analyze data and follow complex instructions.
  • Ability to aggregate and analyze data in Excel.
  • Listening to content and transcribing the content (Listening, Speaking, Reading, Writing).
  • Understanding of the domain relevant to the annotation project (Ex: Audio, Text annotation, speech recognition). Natural language Processing is preferred.
  • Experience with annotation tools and platforms is preferred.

Peringatan Penting

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