Onsite Bilingual Malaysian Data Annotator | Data Quality

Experis (Austria); New York (NY); On-site; USD 28,000 - 40,000; Full time

Benefits offered by this job

Weekly Pay

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending Plan

Supplemental Life Insurance

Short Term Disability Insurance

Long Term Disability Insurance

Business Travel Insurance

401(k) Plus Match

Job summary

Experis is seeking a Bilingual Malaysian Data Annotator to support our Data Quality Analytics Team. The role focuses on labeling media according to guidelines, ensuring accuracy and consistency across large datasets.

You will use internal labeling platforms and work with cross-functional teammates in a fast-paced environment. The ideal candidate has strong attention to detail, fluent English and Malay, and can follow strict guidelines.

Qualifications

• Experience in data labeling or annotation
• Strong attention to detail and ability to follow guidelines precisely
• Fluent in English and Malaysian (spoken and written)
• Experience working with cross-functional teams is a plus
• Proficiency with basic Excel functions preferred

Responsibilities

• Annotate media based on provided guidelines as part of the Data Quality Team
• Apply quality methodology, rubric, and standards consistently when labeling large datasets
• Use internal data labeling platforms for annotation tasks
• Become a subject matter expert in your workflow
• Identify errors and trends and communicate findings to stakeholders

Skills

Annotation experience

Attention to detail

English proficiency

Malaysian language

Excel basics

Independent worker

Cross-functional teamwork

Education

High school diploma

Tools

Excel

Job description

Experis is seeking a Bilingual Malaysian Data Annotator to support our Data Quality Analytics Team. The role focuses on labeling media according to guidelines, ensuring accuracy and consistency across large datasets.

You will use internal labeling platforms and work with cross-functional teammates in a fast-paced environment. The ideal candidate has strong attention to detail, fluent English and Malay, and can follow strict guidelines.