We're looking for Data Labeling Specialists to categorize, tag, and annotate the data that powers cutting-edge AI systems — helping machines learn to think more accurately and reliably.
What if your attention to detail could directly influence how AI sees, reads, and understands the world?
This is a fully remote, flexible contract role open to anyone with a sharp eye for detail and a commitment to doing consistent, quality work. No prior AI or technical experience required.
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 perceives and understands the world.
Potential for ongoing work and contract extension as new projects launch.
Responsibilities
Categorize and label text, images, or audio data 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.
Participate in calibration exercises to maintain quality standards across the team.
Complete task-based assignments independently on your own schedule.
Required skills
Naturally 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.
Preferred skills
Experience with quality assurance, data entry, or document review.
Familiarity with AI tools or annotation platforms as an end user.
Background in research, transcription, or content moderation.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.