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Data Annotators: Categorize Data for AI Training

Terac

Data Annotation & Labeling Contractor
Remote (Global) $2 – $2/hr July 17, 2026

Job description

Role Overview

Terac is seeking detail-oriented Data Annotators to help train next-generation artificial intelligence models through high-quality data categorization and labeling. In this role, you will review datasets, apply structured labels based on detailed guidelines, and ensure annotation consistency to improve machine learning performance.

This is a flexible remote contract opportunity for individuals who enjoy focused, accuracy-driven work and can consistently follow detailed instructions.

Key Responsibilities

Annotate Training Data

  • Review provided data points for accuracy and contextual meaning.
  • Apply appropriate labels and categories according to project guidelines.
  • Maintain consistent annotation quality across multiple data batches.

Follow Annotation Standards

  • Read and follow detailed labeling instructions for each project.
  • Ensure annotations remain accurate, complete, and consistent.
  • Submit completed annotation tasks for quality review.

Support AI Training

  • Help improve machine learning models by producing reliable, high-quality labeled datasets.
  • Work independently through asynchronous annotation assignments.

Required Qualifications

  • Strong attention to detail.

  • Excellent reading comprehension and analytical skills.

  • Ability to follow strict guidelines and formatting requirements.

  • Comfortable working independently on repetitive, accuracy-focused tasks.

  • Reliable internet connection.

Preferred Qualifications

  • Experience with:
    • Data Annotation
    • Data Labeling
    • Data Entry
    • Quality Assurance
    • Administrative Support
    • AI Training projects

Compensation

  • $2 USD per hour

Work Arrangement

  • Remote
  • Independent contractor
  • Flexible schedule
  • Weekly payments
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