Data Annotator Specialist at micro1

  • Remote
  • Nigeria
  • Not specified NGN / Month

micro1

We are partnering with a leading technology-driven organization focused on delivering high-quality data for AI and machine learning solutions. Their mission is to power innovation by ensuring the accuracy and reliability of the datasets used to train intelligent systems. As part of their growing remote team, you will directly contribute to the development of impactful AI products used across industries.

Job Details

Job Title: Data Annotator Specialist
Job Type: Nigeria (Remote)
Schedule: Part-time, flexible working hours

Role Overview

The Data Annotator Specialist will be responsible for reviewing, tagging, and organizing various data types used in machine learning models. This role is ideal for detail-oriented individuals with a basic understanding of computer science concepts, strong communication skills, and confidence working with JSON formats. You’ll collaborate with internal teams to ensure accuracy and consistency across annotations while helping improve ongoing processes.

Key Responsibilities
  • Label, categorize, and annotate datasets according to defined project guidelines.

  • Review and validate annotations to maintain consistent quality.

  • Collaborate with team members to clarify instructions and implement feedback.

  • Organize and document annotated datasets for easy tracking and retrieval.

  • Troubleshoot minor data-related issues using basic technical skills.

  • Meet deadlines while maintaining high accuracy and efficiency.

  • Suggest improvements to enhance workflow and annotation standards.

Qualifications and Skills

Required:

  • Previous experience with data annotation tools or workflows.

  • Ability to read and edit JSON data formats.

  • Strong written and verbal communication skills.

  • Excellent attention to detail and organizational skills.

  • Basic understanding of computer science concepts.

  • Ability to work independently in a remote setup.

  • Strong time management skills and openness to feedback.

Preferred:

  • Experience working on team-based annotation projects.

  • Exposure to annotating text, image, audio, or other data types.

  • Familiarity with agile or collaborative digital environments.

Salary
  • Not specified
Application closing date
  • Not specified

To apply for this job please visit www.linkedin.com.