About the Role
What if your attention to detail could directly influence how the world's most advanced AI systems learn and think? We're looking for Data Labeling Specialists to categorize, tag, and annotate the data that powers cutting-edge AI models — helping machines understand language, images, and audio the way humans do.
This is a fully remote, flexible contract role open to anyone with a sharp eye for detail and a consistent, systematic approach. No prior AI or tech experience required — just focus, reliability, and a willingness to do quality work.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Categorize, tag, and annotate text, images, or audio using structured guidelines
- Apply predefined label sets consistently across large datasets
- Maintain high accuracy and quality standards throughout your work
- Flag ambiguous or edge-case examples using provided review tools
- Participate in calibration exercises to ensure consistency across the team
- Complete task-based assignments independently on your own schedule
Who You Are
- Naturally detail-oriented with a patient, methodical approach
- Able to follow structured instructions precisely and consistently
- Comfortable working with web-based tools and interfaces
- Self-motivated and reliable when working independently
- No prior labeling, AI, or tech experience required
Nice to Have
- Experience with data entry, quality assurance, or structured review work
- Familiarity with AI tools or platforms as an end user
- Background in research, editing, or any field that demands precision
Why Join Us
- Work on real AI projects alongside leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based work
- Contribute to AI development that shapes how technology understands the world
- Potential for ongoing work and contract extension as new projects launch