Annotation Associate (US English)

HCLTech; Kuala Lumpur; On-site; MYR 24,000 - 36,000; Full time

Job summary

HCLTech is seeking an Annotation Associate to manually annotate and label data for our client. You will support multiple streams, ensuring dataset accuracy and reliability, and provide day-to-day support to project leads and teams.

Responsibilities include verifying data quality, creating targeted evaluation sets, annotating results, and maintaining meticulous records. The role emphasizes attention to detail, time management, and clear communication in English.

Qualifications

• A bachelor’s or master’s degree.
• Fresh graduate in English Language/TESL is a plus.
• Excellent English understanding; US exposure is a plus.
• 1-2 years in annotation, data analysis or content moderation is a plus.
• Excellent English 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 user search intents.
• Ability to manage time and meet deadlines.
• Ability to analyze data and follow complex instructions.
• Ability to aggregate and analyze data in Excel.
• Listening to content and transcribing it.
• Domain knowledge relevant to annotation projects is preferred.
• Experience with annotation tools and platforms is preferred.

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.

Skills

English communication

Attention to detail

Time management

Data analysis

Excel familiarity

Transcription

Education

Bachelor's or Master's degree

Fresh graduate in English Language/TESL

Tools

Annotation tools

Job description

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.
• 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.
• Excellent English 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.