Data Labeling Specialist

Data Labeling Specialist (AI Training)
About The Role
What if your attention to detail could directly influence how AI systems 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 learn to 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 guidelines. No prior AI or tech experience needed — just focus, consistency, 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 data using predefined tag sets and annotation guidelines
Annotate datasets across a variety of formats and subject areas to support AI model training
Maintain high accuracy and consistency across large volumes of data
Follow quality standards and participate in calibration exercises to keep outputs reliable
Complete task-based assignments independently on your own schedule
Who You Are
Detail-oriented with a systematic, consistent approach to repetitive tasks
Able to follow structured instructions precisely and adapt as guidelines evolve
Comfortable working with web-based labeling tools and platforms
Self-motivated and reliable when working independently
No prior labeling, AI, or data experience required
Nice to Have
Experience with data entry, quality assurance, or document review
Familiarity with AI tools or annotation platforms as an end user
Background in research, transcription, or content classification
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 work
Contribute to AI development that shapes how technology understands the world
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes