Alignerr
Data Labeling Specialist
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Data Labeling Specialist (AI Training)
About The Role
What if your attention to detail could directly influence how the next generation of AI systems sees and understands the world? We're looking for Data Labeling Specialists to categorize, tag, and annotate the data that powers cutting-edge AI models — helping machines learn to interpret text, images, and audio with greater accuracy.
This is a fully remote, flexible contract role open to anyone with a sharp eye for detail and the ability to follow structured guidelines. No prior AI or tech experience needed — just consistency, focus, and a reliable internet connection.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
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What You'll Do
- Categorize and label data — including text, images, and audio — using clearly defined tag sets and annotation guidelines
- Annotate content with precision to ensure AI models receive accurate, high-quality training signals
- Maintain consistency and accuracy across large datasets through careful, systematic work
- Participate in calibration exercises to align with quality standards across the team
- Complete task-based assignments independently on your own schedule
Who You Are
- Naturally detail-oriented with a patient, methodical approach to repetitive tasks
- Able to follow structured instructions precisely and consistently
- Comfortable working with web-based tools and online platforms
- Self-motivated and reliable when working independently
- No prior data labeling or AI experience required
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Nice to Have
- Experience in quality assurance, data entry, or content moderation
- Familiarity with annotation tools or AI platforms as an end user
- Background in research, editing, or any field requiring close attention to detail
Why Join Us
- Work on meaningful AI projects alongside leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of clear, task-based assignments
- Contribute to AI development that shapes how technology understands the world
- Potential for ongoing work and contract extension as new projects launch
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