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 — helping machines see, read, and reason more accurately.
Data Labeling Specialist (AI Training) This is a fully remote, flexible contract role open to anyone with a sharp eye for detail and a methodical approach to structured work. No prior AI or data experience required — just reliability, focus, and a commitment to quality.
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 datasets accurately and consistently to support AI model training
Follow structured project instructions with precision and care
Maintain quality standards across large volumes of data
Participate in calibration exercises to ensure consistency across the team
Complete task-based assignments independently on your own schedule
Who You Are
Detail-oriented with a patient, systematic approach to repetitive tasks
Able to follow structured instructions precisely and consistently
Comfortable using web-based tools and interfaces
Self-motivated and reliable when working independently
No prior data labeling or AI experience required
Nice to Have
Experience with quality assurance, data entry, or administrative work
Familiarity with AI tools or annotation platforms as an end user
Background in research, editing, 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 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
Data Labeling Specialist in Warsaw – pracodawca: Alignerr Corp.
Alignerr Corp. to doskonały pracodawca, który oferuje elastyczne godziny pracy oraz możliwość rozwoju w dynamicznie rozwijającym się środowisku technologicznym. Pracownicy cenią sobie kulturę współpracy i wsparcia, a także szereg możliwości szkoleń, które pomagają w doskonaleniu umiejętności związanych z oceną jakości wyszukiwania i treści generowanych przez AI. Praca zdalna pozwala na wygodne łączenie życia zawodowego z prywatnym, co czyni tę rolę jeszcze bardziej atrakcyjną.
