Data Labeling Specialist

Data Labeling Specialist (AI Training)
About The Role
What if your attention to detail could directly shape the future of artificial intelligence? We're looking for Data Labeling Specialists to categorize, tag, and annotate the data that teaches AI systems how to understand the world. Your work sits at the foundation of some of today's most exciting AI breakthroughs — and you don't need a tech background to get started.
This is a fully remote, flexible contract role open to anyone who is detail-oriented, reliable, and comfortable following structured guidelines. No prior AI or data experience required.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Categorize and label data — including text, images, and audio — using predefined tag sets and clear project guidelines
Annotate datasets with accuracy and consistency to ensure high-quality AI training output
Follow structured annotation frameworks and quality standards
Participate in calibration exercises to stay aligned with project goals
Complete task-based assignments independently on your own schedule
Who You Are
Highly detail-oriented with a methodical, consistent approach to repetitive tasks
Comfortable following structured instructions precisely and systematically
Self-motivated and reliable when working independently
Familiar with basic web-based tools and platforms
A stable internet connection is all the tech you need
No prior labeling, AI, or tech experience required
Nice to Have
Experience in data entry, quality assurance, or content moderation
Familiarity with AI tools or annotation platforms as an end user
Background in research, editing, or any field requiring precision and accuracy
Why Join Us
Work on real, cutting-edge 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 directly to AI development that impacts how technology understands the world
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes