Data Annotator
@ Micro1

Hybrid
$50,000
Hybrid
Contractor
Posted 6 hours ago

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

Job Summary

Join micro1's team as a Data Annotator, playing a pivotal role in ensuring high-quality data for impactful machine learning and AI projects.

Key Responsibilities

  • Accurately label, categorize, and annotate diverse data types.
  • Review and validate data annotations for consistency and quality.
  • Collaborate with the team to understand guidelines and provide feedback.
  • Manage and document annotated datasets with clear records.
  • Troubleshoot data issues using basic computer science skills and JSON proficiency.
  • Meet project deadlines while maintaining high accuracy and efficiency.
  • Provide insights on process improvements and best practices.

Required Skills and Qualifications

  • Experience with data annotation workflows and tools.
  • Proficiency in handling and editing JSON data.
  • Excellent written and verbal communication skills with attention to detail.
  • Generalist mindset with basic computer science understanding.
  • Ability to work independently in a remote, part-time setting.
  • Strong organizational and time management skills.
  • Proactive and receptive to feedback for continuous improvement.

Preferred Qualifications

  • Prior experience in team-based annotation projects.
  • Familiarity with multiple data types such as text, image, and audio.
  • Exposure to agile workflows or collaborative digital environments.

Key Skills/Competency

  • Data Annotation
  • Labeling
  • Categorization
  • JSON
  • Data Quality
  • Machine Learning
  • AI
  • Collaboration
  • Organization
  • Computer Science

How to Get Hired at Micro1

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data annotation and JSON skills.
  • Showcase projects: Include annotation and technology experience.
  • Research micro1: Understand their tech and work culture.
  • Practice interview tips: Focus on technical and communication questions.

📝 Interview Preparation Advice

Technical Preparation

Review JSON data manipulation techniques.
Practice data labeling tool usage.
Understand basic computer science concepts.
Study data validation and error handling methods.

Behavioral Questions

Describe a time you met a tight deadline.
Explain handling feedback in a remote setting.
Discuss a situation solving technical issues independently.
Share experience working within team guidelines.

Frequently Asked Questions