Job Title: Data Labelling Specialist
Location: Remote (Nigeria, Ghana, Kenya)
Application Deadline: April 4, 2025
Job Posted On: March 3, 2025
Work Type: Full Time
Industry: Internet
Salary Range: $1,000 – $2,000 per month (based on experience and skills).
Experience Level: 2-3 years
Role Overview
The Data Labelling Specialist will play a critical role in annotating and labeling datasets with precision and consistency. This position requires a detail-oriented individual who can follow guidelines meticulously and efficiently handle large datasets. The ideal candidate will collaborate with machine learning engineers and data scientists to ensure high-quality data for AI and machine learning models.
Key Responsibilities
- Accurately label and annotate datasets, including text, images, videos, and audio.
- Follow detailed labeling guidelines to ensure consistency and accuracy.
- Review and validate labeled data to maintain quality standards.
- Collaborate with technical teams to refine and improve annotation processes.
- Use labeling tools and software to enhance workflow efficiency.
- Identify inconsistencies in data and provide feedback for process improvements.
Requirements
- 2-3 years of experience in data labeling, annotation, or a related field.
- Proficiency in using data labeling platforms such as Labelbox, Amazon SageMaker Ground Truth, or similar tools.
- Strong attention to detail and ability to follow complex guidelines.
- Basic understanding of how labeled data is utilized in AI and machine learning models.
- Ability to manage and process large datasets efficiently.
- Good communication skills for effective collaboration with technical teams.
Preferred Qualifications
- Experience labeling data for machine learning applications in computer vision, NLP, or speech recognition.
- Basic programming skills (e.g., Python, SQL) for automation tasks.
- Familiarity with cloud-based annotation tools.
Benefits
- Competitive monthly salary of $1,000 – $2,000.
- Opportunity to work with cutting-edge AI and machine learning technologies.
- Professional growth and learning opportunities in a dynamic field.
Why Join Us?
We are a forward-thinking organization with a vision to empower talent and distribute opportunities worldwide. Our culture is driven by innovation and inclusivity, offering great perks and the flexibility to work remotely from anywhere in the world. Join us and be part of a team that values creativity, collaboration, and global impact.
