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 the next generation of 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 the ability to follow structured guidelines. No prior AI or tech experience required — just consistency, focus, and a reliable internet connection.
Why Join Us
Work on real AI projects alongside leading research labs and top AI organizations.
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 has a tangible impact on how technology 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 with precision to ensure AI models receive clean, high-quality training inputs.
Maintain consistency and accuracy across large volumes of data.
Participate in calibration exercises to align with project quality standards.
Complete task-based assignments independently on your own schedule.
Required skills
Detail-oriented with a patient, methodical approach to repetitive tasks.
Able to follow structured instructions precisely and consistently.
Comfortable working with web-based labeling and annotation tools.
Self-motivated and reliable when working independently.
Preferred skills
Experience in data entry, quality assurance, or content review.
Familiarity with AI tools or data platforms as an end user.
Background in research, editing, or any field requiring systematic attention to detail.
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.
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