Kitchen Assistant at Recore Limited | Nigeria
Company/Recruiter: Recore Limited
Published on: 12:01 AM | May 22, 2026
✦ AI Summary
Workada is seeking detail-oriented Data Labeling Specialists for remote contract opportunities.
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.