Bilingual Malaysian Data Annotator

Experis

New York (NY)

On-site

USD 29,000 - 40,000

Part time

32 hours ago
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Benefits offered by this job

Onsite work
Performance bonuses
Weekly pay
Contract extension potential

Job summary

Experis seeks a bilingual Data Annotator to support our Data Quality Analytics Team in onsite locations in New York City. You will annotate media according to guidelines, apply quality rubrics, and ensure accurate labeling of large datasets.

The role requires strong attention to detail, excellent communication, and ability to collaborate with cross-functional teams. Fluency in Malaysian and English is required, with potential for performance-based bonuses and weekly pay.

Qualifications

  • High school diploma or equivalent is required.
  • Experience with data annotation and labeling workflows preferred.
  • Strong attention to guidelines and data quality.
  • Ability to work with cross-functional teams.
  • Familiarity with Excel formulas is a plus.

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

Attention to detail
Excellent communication
Time management
Independent worker
Cross-functional collaboration
Fluency in Malaysian and English

Education

High school diploma or equivalent

Tools

Excel

Job description

$25.0/hourly Posted 2 days ago Less than 10 applies 2 min average apply

Experis

New York, NY 10003

Our client, a leading organization in the technology sector, is seeking a Bilingual Malaysian Data Annotator to join their team. As a Bilingual Malaysian Data Annotator, you will be part of the Data Quality Analytics Team supporting technical research projects. The ideal candidate will demonstrate strong attention to detail, excellent communication skills, and a proactive approach that aligns successfully within the organization.

Job Title

Bilingual Malaysian Data Annotator

Location

Onsite in Redmond, WA, Burlingame, CA orNew York City, NY

Pay Range

$25.00/hour

What's the Job
  • 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
What's Needed
  • Prior annotation experience preferred
  • High school diploma or equivalent
  • Strong attention to detail and ability to follow guidelines precisely
  • Ability to identify inefficiencies and suggest improvements
  • Excellent communication and collaboration skills
  • Experience working with cross-functional teams
  • Strong time management and task prioritization skills
  • Self-motivated and able to work independently
  • Basic proficiency in Excel/Spreadsheets (functions, formulas, tables)
  • Strong knowledge of the technology industry
  • Fluency in Malaysian and English (written and spoken) is required
What's in it for me
  • Opportunity to work onsite with a collaborative and innovative team
  • Engage in cutting-edge technology and data quality projects
  • Gain valuable experience in data annotation and quality assurance
  • Potential to earn performance-based bonuses
  • Potential for contract extension based on performance and business needs
Upon completion of waiting period, consultants are eligible for
  • Medical and Prescription Drug Plans
  • Dental Plan
  • Vision Plan
  • Health Savings Account
  • Health Flexible Spending Account
  • Dependent Care Flexible Spending Account
  • Supplemental Life Insurance
  • Short Term and Long Term Disability Insurance
  • Business Travel Insurance
  • 401(k), Plus Match
  • Weekly Pay

$25.0/hourly Posted 2 days ago Less than 10 applies 2 min average apply

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