Data Annotation QA Specialist
@ MyRemoteTeam Inc

Hybrid
$50,000
Hybrid
Contractor
Posted 2 days ago

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XXXXXXXX XXXXXXXXX XXXXXXXXX***** @myremoteteam.com
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Job Details

About the Role

MyRemoteTeam Inc is expanding its AI data-labeling initiatives and is seeking a Data Annotation QA Specialist. This role involves reviewing, verifying, and ensuring accuracy in AI training datasets.

What You’ll Do

  • Carefully review provided data including text, images, or videos.
  • Verify and evaluate search result annotations and AI-generated outputs.
  • Label or classify content based on specific project guidelines.
  • Identify and flag incorrect, sensitive, or unclear content.
  • Ensure accuracy, consistency, and adherence to project standards.
  • Provide clear, constructive feedback as needed.

Requirements

  • Fluency in Spanish is mandatory.
  • Prior experience with AI platforms (e.g., Outlier, Appen, Clickworker).
  • Strong logical thinking, fact-checking, and reasoning skills.
  • Excellent attention to detail and ability to follow complex instructions.
  • Effective communication and willingness to seek clarifications.
  • A genuine interest in technology and artificial intelligence.

How to Apply

Interested candidates should send their resume, including language proficiency details, to the provided email and complete the Google form.

Email: sajid.ahmed@truelancer.com WhatsApp: +91-9064877846

Key skills/competency

  • Data Annotation
  • Quality Assurance
  • AI Training Data
  • Attention to Detail
  • Spanish Fluency
  • Fact-Checking
  • Annotation Guidelines
  • Data Verification
  • Communication
  • Logical Reasoning
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How to Get Hired at MyRemoteTeam Inc

🎯 Tips for Getting Hired

  • Customize Resume: Tailor your resume with AI data-labeling experience.
  • Highlight Skills: Emphasize attention to detail and communication.
  • Research MyRemoteTeam Inc: Understand their AI projects and company culture.
  • Prepare Examples: Showcase previous QA and annotation works.

📝 Interview Preparation Advice

Technical Preparation

Review AI data-labeling guidelines.
Practice content classification tasks.
Familiarize with annotation platforms.
Test QA error detection techniques.

Behavioral Questions

Describe attention to detail instances.
Explain following complex instructions.
Discuss handling ambiguous tasks.
Share communication improvement examples.

Frequently Asked Questions