Human-in-the-Loop Data Labeler

7 days ago


Kuala Lumpur, Kuala Lumpur, Malaysia Reading Full time

About Reading

Reading is a leader in the field of data annotation. We are seeking a highly skilled Human-in-the-Loop Data Labeler to join our team.

Job Description

In this role, you will be responsible for manually labeling data items for our clients in the data annotation space.

Responsibilities

  • Manually label data items to ensure accuracy and reliability.
  • 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 labeling.
  • Provide feedback to improve data labeling 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.
  • Fresh graduate in bachelor's degree in English Language/TESL is a plus.
  • Excellent understanding in US English. Someone who used to study and live in US is a plus.
  • 1-2 years of working experiences in annotation, data analyst OR content moderator is a plus.
  • Experience with data labeling and categorizing.
  • A keen eye for detail to ensure accuracy in labeling.
  • 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.


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