Data Annotator Specialist
@ Micro1

Hybrid
$80,000
Hybrid
Contractor
Posted 17 hours ago

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

About the Role

Join our customer's team as a Data Annotator Specialist at micro1. In this contractual remote role, you will have a direct impact on the development of cutting-edge AI solutions through high-quality data curation, annotation, and communication.

Key Responsibilities

  • Curate, annotate, and validate datasets for AI and machine learning models.
  • Work extensively with JSON data structures to clean and transform data.
  • Collaborate with data scientists and engineers to clarify requirements.
  • Develop and maintain data annotation guidelines ensuring consistency.
  • Perform rigorous data quality checks and proactively identify issues.
  • Document workflows for both technical and non-technical audiences.
  • Communicate insights, challenges, and project updates effectively.

Required Skills and Qualifications

  • Proven experience in data annotation and curation in AI environments.
  • Advanced proficiency with JSON data formats and related tools.
  • Exceptional written and verbal communication skills.
  • Ability to work independently in a fully remote setting.
  • Strong analytical problem-solving and organizational skills.
  • Commitment to data integrity and quality.

Preferred Qualifications

  • Experience with annotation platforms commonly used in AI projects.
  • Background in computer science, data science, or related fields.
  • Familiarity with large-scale data management and quality control.

Key skills/competency

  • Data Annotation
  • Data Curation
  • JSON
  • Machine Learning
  • AI
  • Data Quality
  • Guidelines
  • Communication
  • Remote Collaboration
  • Analytical
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How to Get Hired at Micro1

🎯 Tips for Getting Hired

  • Tailor Your Resume: Highlight relevant data annotation experiences.
  • Showcase Technical Skills: Emphasize JSON and data curation expertise.
  • Research micro1: Understand company culture and projects.
  • Prepare Communication Examples: Demonstrate remote collaboration success.

📝 Interview Preparation Advice

Technical Preparation

Review JSON handling and data structuring techniques.
Practice dataset annotation on sample AI projects.
Familiarize with common annotation tools and platforms.
Study data cleaning and transformation methods.

Behavioral Questions

Describe remote work collaboration experiences.
Explain handling tight data deadlines.
Discuss overcoming data quality challenges.
Share communication strategies in distributed teams.

Frequently Asked Questions