Data Annotation QA
@ MyRemoteTeam Inc

Hybrid
$50,000
Hybrid
Contractor
Posted 21 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXXXX****** @myremoteteam.com
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Job Details

Overview

MyRemoteTeam Inc is expanding its AI data-labelling project and is seeking a dedicated Data Annotation QA specialist. This role focuses on reviewing and verifying search result annotations to ensure accurate data for AI applications.

What You’ll Do

  • Carefully review provided data including text, images, or videos.
  • Label or classify content according to project guidelines.
  • Identify and flag factually incorrect, sensitive, inappropriate, or unclear material.

Languages Required

Candidates must be proficient in Russian, French, Chinese, Japanese, Korean, German, Indonesian, and Spanish.

Additional Details

Start: This week | Workload: Approximately 50 tasks per day (~6 minutes per task)

Key Skills/Competency

  • Data Annotation
  • Quality Assurance
  • Attention to Detail
  • Multi-language Proficiency
  • Data Labeling
  • Content Classification
  • AI Projects
  • Task Efficiency
  • Guideline Adherence
  • Problem Identification

Application

If interested, please send your resume with your language proficiency and hourly rate to sagar.gupta@truelancer.com or WhatsApp at +91 8209378345.

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How to Get Hired at MyRemoteTeam Inc

🎯 Tips for Getting Hired

  • Research MyRemoteTeam Inc's culture: Analyze mission, values, and team insights.
  • Customize your resume: Highlight data labeling and QA skills.
  • Emphasize language skills: Demonstrate proficiency in required languages.
  • Prepare for practical tests: Brush up on annotation guidelines and review tasks.

📝 Interview Preparation Advice

Technical Preparation

Review data labeling guidelines thoroughly.
Practice reviewing varied media types.
Familiarize with annotation tools.
Enhance multi-language text analysis.

Behavioral Questions

Describe handling tight deadlines effectively.
Explain managing repetitive tasks with focus.
Share experiences in team communication.
Discuss adapting to workflow changes.

Frequently Asked Questions