Kitchen Assistant at Recore Limited | Nigeria

Human Resource
Nigeria
May 21, 2026
Full Time
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Job Overview

  • Date Posted
    May 21, 2026
  • Country
    Nigeria
  • Expiration date
    --

Job Description

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Workada is seeking detail-oriented Data Labeling Specialists for remote contract opportunities. Join our dedicated team in creating high-quality labeled data crucial for the advancement of cutting-edge technology. At Workada, we pride ourselves on the meticulous nature of our work, understanding that every reviewed, categorized, and quality-checked piece of digital content directly contributes to systems that better comprehend information, follow instructions, and perform complex real-world tasks. If you possess a keen eye for detail and a commitment to accuracy, we encourage you to apply.

Job Overview

As a Data Labeling Specialist, you will be instrumental in annotating and categorizing diverse digital content to train and refine artificial intelligence and machine learning models. This role requires a precise approach to ensure the integrity and utility of the data we produce.

Key Responsibilities

  • Accurately label and categorize various forms of digital content according to established guidelines.
  • Review and evaluate data for consistency, accuracy, and adherence to project specifications.
  • Identify and flag anomalies or ambiguous data points for further review.
  • Maintain high standards of quality and attention to detail in all assigned tasks.
  • Provide feedback on labeling guidelines and processes to improve efficiency and accuracy.

    • Requirements

  • Exceptional attention to detail and commitment to accuracy.
  • Strong comprehension and execution of written instructions.
  • Ability to work independently and manage time effectively in a remote setting.
  • Reliable internet connection and a suitable remote work environment.
  • Proficiency with digital tools and interfaces.

    • What We Offer

  • Flexible remote contract work.
  • Opportunity to contribute to innovative technology development.
  • Engaging and varied data labeling projects.
  • A supportive team environment focused on quality and precision.

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