Data Annotator Specialist
@ Micro1

Hybrid
$60,000
Hybrid
Part Time
Posted 21 days ago

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

Overview

Join the micro1 team as a Data Annotator Specialist. This remote, full-time role is ideal for detail-oriented individuals who want to contribute to shaping the quality of AI-driven products globally. No prior annotation experience is required as comprehensive training and support are provided.

Key Responsibilities

  • Label, categorize, and annotate diverse datasets including text, images, and other media following provided guidelines.
  • Perform meticulous quality checks to ensure data accuracy and consistency.
  • Collaborate with team members to resolve ambiguities and refine annotation protocols.
  • Adhere to data privacy and confidentiality rules at all times.
  • Meet project deadlines and daily productivity benchmarks in a self-managed environment.
  • Provide constructive feedback on tools and workflows for continuous improvement.
  • Maintain clear and professional written and verbal communication with the team.

Required Skills and Qualifications

  • Completed high school education or equivalent.
  • Strong attention to detail and commitment to high data quality.
  • Exceptional reading comprehension and ability to follow complex instructions.
  • Fluency in English, both written and verbal.
  • Reliability, proactivity, and comfort working independently.
  • Ability to quickly adapt to new guidelines and project requirements.
  • Basic computer skills and internet navigation.

Preferred Qualifications

  • Bachelor’s degree in any field.
  • Experience with data annotation or similar fields is a plus.
  • Previous experience in remote, distributed, or multicultural teams.

Key skills/competency

  • Annotation
  • Labeling
  • Data Quality
  • Remote
  • Collaboration
  • Attention
  • Guidelines
  • Feedback
  • Communication
  • Adaptability

How to Get Hired at Micro1

🎯 Tips for Getting Hired

  • Customize your resume: Tailor experiences specific to data annotation and quality control.
  • Highlight remote work: Emphasize independent and remote project success.
  • Show attention to detail: Include examples of meticulous work and quality assurance.
  • Prepare for online interviews: Practice clear communication and team collaboration stories.

📝 Interview Preparation Advice

Technical Preparation

Familiarize with common annotation tools.
Review data privacy and security standards.
Practice dataset labeling fundamentals.
Learn quality control and review techniques.

Behavioral Questions

Describe time management strategies.
Explain teamwork in remote settings.
Discuss handling ambiguous instructions.
Share examples of independent problem solving.

Frequently Asked Questions