About the Role
What if your attention to detail could directly influence how AI systems learn to understand the world? We're looking for Data Labeling Specialists to categorize, tag, and annotate the data that powers cutting-edge AI models — helping machines see, read, and interpret information more accurately.
This is a fully remote, flexible contract role open to anyone with a sharp eye for detail and the ability to follow structured instructions. No prior AI or tech experience required — just consistency, focus, and a reliable internet connection.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Categorize and label text, images, or audio using predefined tag sets and annotation guidelines
- Annotate data accurately and consistently across large datasets
- Follow quality standards and participate in calibration exercises to maintain high accuracy
- Flag ambiguous or unclear data points and escalate when needed
- Complete task-based assignments independently on your own schedule
Who You Are
- Naturally detail-oriented with a consistent, methodical approach to repetitive tasks
- Able to follow structured instructions precisely and apply them at scale
- Comfortable using web-based tools and interfaces
- Self-motivated and reliable when working independently
- No prior labeling, AI, or technical experience required
Nice to Have
- Experience with quality assurance, data entry, or administrative work
- Familiarity with AI tools or content platforms as an end user
- Background in research, transcription, or content review
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 clear, 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