Data Annotator Specialist
@ Micro1

Hybrid
$50,000
Hybrid
Part Time
Posted 9 hours ago

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XXXXXXXX XXXXXXXXX XXXXXXXX***** @micro1.com
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Job Details

Overview

Join our customer's team as a Data Annotator Specialist and play a vital role in shaping the quality of AI-driven products worldwide. This remote, full-time role is ideal for detail-oriented individuals eager to contribute to innovative technology projects.

Key Responsibilities

  • Label, categorize, and annotate diverse datasets (text, images, media).
  • Perform meticulous quality checks to ensure data accuracy.
  • Collaborate with team members for resolving ambiguities.
  • Ensure adherence to data privacy and confidentiality rules.
  • Meet project deadlines and productivity benchmarks in a self-managed environment.
  • Provide feedback on annotation tools and workflows.
  • Maintain clear written and verbal communication with the team.

Required Skills and Qualifications

  • High school education or equivalent.
  • Strong attention to detail and commitment to high data quality.
  • Exceptional reading comprehension and ability to follow instructions.
  • Fluency in English.
  • Reliable, proactive, and comfortable working independently.
  • Basic computer and internet navigation skills.

Preferred Qualifications

  • Bachelor’s degree in any field.
  • Experience with data annotation or related fields is a plus.
  • Previous remote or multicultural team experience.

Key skills/competency

  • Data Annotation
  • Quality Assurance
  • Attention to Detail
  • Remote Work
  • Dataset Labeling
  • Collaboration
  • Data Privacy
  • Instruction Following
  • Feedback Provision
  • Communication
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How to Get Hired at Micro1

🎯 Tips for Getting Hired

  • Customize Resume: Highlight relevant data annotation skills and experience.
  • Tailor Application: Emphasize attention to detail and remote work readiness.
  • Prepare Examples: Showcase quality checking and labeling examples.
  • Research micro1: Understand their products and team culture.

📝 Interview Preparation Advice

Technical Preparation

Review data labeling software basics.
Practice quality control evaluation methods.
Familiarize with annotation guidelines.
Refresh basic computer navigation skills.

Behavioral Questions

Describe your attention to detail.
Explain your approach to independent work.
Share a teamwork conflict resolution example.
Discuss adaptability to changing guidelines.

Frequently Asked Questions