AI Data Specialist
@ Micro1

Hybrid
$90,000
Hybrid
Contractor
Posted 13 hours ago

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Job Details

About the Role

Join micro1 as an AI Data Specialist on a contractual basis and work remotely. Your expertise will drive the development of innovative AI solutions focusing on 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 datasets.
  • Collaborate with data scientists and engineers to clarify data requirements.
  • Develop and maintain guidelines to ensure data consistency and quality.
  • Perform rigorous data quality checks and resolve data anomalies.
  • Document workflows and communicate updates effectively to all stakeholders.

Required Skills and Qualifications

  • Proven experience in data annotation and curation in AI/ML environments.
  • Advanced proficiency in working with JSON data formats.
  • Exceptional written and verbal communication skills with strong attention to detail.
  • Ability to work independently in a fully remote setting while collaborating with a distributed team.
  • Excellent analytical and problem-solving skills with organized project management.

Preferred Qualifications

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

Key Skills/Competency

  • Data Annotation
  • Dataset Curation
  • JSON
  • Machine Learning
  • Data Validation
  • Communication
  • Remote Collaboration
  • Quality Assurance
  • Documentation
  • Problem-Solving

How to Get Hired at Micro1

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data annotation and JSON expertise.
  • Research micro1's culture: Understand their AI innovation and remote setup.
  • Apply keywords: Use terms like AI, data curation, and ML.
  • Prepare examples: Showcase past projects in data validation.

📝 Interview Preparation Advice

Technical Preparation

Review JSON manipulation techniques.
Practice dataset cleaning methods.
Study data validation best practices.
Familiarize with common annotation tools.

Behavioral Questions

Describe time managing multiple projects.
Explain remote collaboration experiences.
Discuss problem resolution in data projects.
Share examples of precise communication.

Frequently Asked Questions