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📌 AI Data Labeler
Data Entry & ResearchEntry Level
📝 Job Description
We are seeking meticulous and logical AI Data Labelers to support the development of machine learning models by accurately tagging and categorizing datasets. As a labeler, you will work with images, text, audio, or video data and apply the correct labels according to specific project instructions. This work is essential for training AI systems such as image recognition, natural language processing, and recommendation algorithms. While no technical programming knowledge is needed, strong attention to detail and consistency is a must.
📋 Main Responsibilities
- Label or annotate data samples (such as objects in images, named entities in texts, or sentiments in reviews)
- Follow detailed labeling guidelines provided for each project or client
- Use specialized annotation tools or platforms (e.g., Labelbox, Scale AI, Amazon SageMaker Ground Truth)
- Review and revise your annotations to ensure high-quality output
- Flag ambiguous or unclear cases for supervisor review
- Track task progress and meet volume or accuracy targets
- Maintain confidentiality of proprietary or sensitive data
🛠 Required Skills / Tools
Logical thinking and strong attention to small details
Ability to follow instructions and labeling criteria precisely
Basic computer literacy and typing skills
Familiarity with data annotation tools or willingness to learn (training often provided)
Reliable internet connection and a personal computer or laptop
Good reading comprehension in English (other languages like Swedish are a plus)
Ability to work independently and meet quality standards
Optional: Prior experience in crowdsourcing platforms (e.g., Appen, Clickworker, Remotasks)
✨ What You'll Enjoy
- Work remotely from anywhere in the world
- Set your own schedule and work at your own pace
- Collaborate with international teams and clients
- Develop your skills through hands-on experience
- Access to training resources and community support
💼 Job Details
Time Commitment
10-30 hours/week
Pay Range
$8-15/hour
Experience Level
Entry Level
🌟 Why Choose EasyLife Remote?
- • Flexible work arrangements
- • Global community support
- • Fair compensation
- • Skill development opportunities
- • Work-life balance focus