AI Data Specialist
@ Micro1

Hybrid
$90,000
Hybrid
Contractor
Posted 21 days ago

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

Position Overview

Join micro1's team as an AI Data Specialist. Your expertise in data curation, annotation, and validation will directly impact cutting-edge AI solutions in a remote environment.

Key Responsibilities

  • Curate, annotate, and validate datasets for AI and machine learning.
  • Work extensively with JSON data structures to clean and transform data.
  • Collaborate with data scientists and engineers to resolve data ambiguities.
  • Develop and maintain data annotation guidelines ensuring consistency.
  • Perform rigorous quality checks and identify data errors.
  • Document workflows clearly for technical and non-technical stakeholders.
  • Communicate insights, challenges, and status 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 remote setting.
  • Strong analytical problem-solving and organizational skills.
  • Commitment to maintaining data integrity and consistency.

Preferred Qualifications

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

Key skills/competency

  • Data Curation
  • Annotation
  • JSON
  • Data Validation
  • Machine Learning
  • Remote Work
  • Quality Control
  • Collaboration
  • Documentation
  • Communication
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How to Get Hired at Micro1

🎯 Tips for Getting Hired

  • Research micro1's culture: Study their mission, values, news, and employee reviews.
  • Customize your resume: Emphasize data curation and JSON skills.
  • Showcase remote collaboration: Highlight remote work successes and tools.
  • Prepare for technical interviews: Review dataset annotation and quality control techniques.
  • Practice communication: Prepare clear examples of data problem-solving.

📝 Interview Preparation Advice

Technical Preparation

Review JSON manipulation libraries.
Practice dataset annotation techniques.
Study data cleaning methods.
Learn quality control guidelines.

Behavioral Questions

Describe remote collaboration experiences.
Explain independent work achievements.
Demonstrate clear communication skills.
Discuss problem-solving instances.

Frequently Asked Questions