Data Labeling Specialist
Alignerr
Job Overview
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Job Description
About The Role
We're looking for Data Labeling Specialists to categorize, tag, and annotate data used to train AI systems. This is structured, task-based work that anyone with attention to detail can do.
Organization: AlignerrType: Hourly ContractCompensation: $40–$120 /hourLocation: RemoteCommitment: 10–40 hours/week
What You'll Do
- Categorize and label data using predefined tag sets
- Annotate text, images, or audio according to project guidelines
- Maintain accuracy and consistency across large datasets
- Follow quality standards and participate in calibration exercises
- Work at your own pace on flexible, task-based assignments
Who You Are
- Strong attention to detail and patience for repetitive work
- Ability to follow structured instructions precisely
- Comfortable using web-based labeling tools
- Reliable internet connection
- No prior labeling or AI experience needed
Why Join Us
- Competitive pay and flexible remote work
- Work on cutting-edge AI projects with top research labs
- Freelance perks: autonomy, flexibility, and global collaboration
- Potential for ongoing work and contract extension
Application Process
The application process for the Data Labeling Specialist role at Alignerr typically takes 10–15 minutes:
- Submit your resume
- Complete a short screening
- Project matching and onboarding
PS: Our team reviews applications daily. Please complete your application steps to be considered for this opportunity.
Key skills/competency
- Data Categorization
- Data Annotation
- Quality Assurance
- Attention to Detail
- Data Consistency
- Following Guidelines
- Web-based Tools
- AI Data Preparation
- Repetitive Task Management
- Flexible Work Management
How to Get Hired at Alignerr
- Research Alignerr's culture: Study their mission focusing on AI training data and commitment to quality.
- Customize your resume: Highlight your attention to detail, precision in following instructions, and reliability for task-based work.
- Showcase relevant skills: Emphasize your ability to maintain accuracy and consistency, even without direct AI or labeling experience.
- Prepare for screening: Be ready to demonstrate your meticulousness and organizational skills during the short screening process for the Data Labeling Specialist role.
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