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全职 Annotation Associate - US Native Speaker 工作, 薪水, HCLTech Federal Territory 公司招聘中 - Ricebowl

Annotation Associate - US Native Speaker

HCLTech

KL City, Federal Territory

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工作地点

  • Jalan Sultan Mizan Zainal Abidin, Kompleks Kerajaan Kuala Lumpur Federal Territory Malaysia

职位描述

岗位职责

Key Responsibilities

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.


Skill Requirements

Qualifications:

 A bachelor’s or master’s degree.

 Open to fresh graduate with required languages proficiency.

 Native / Certified in required languages en-US in KL

 Proficient in English communication skills.

 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.

 Experience with data labeling and categorizing.

 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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