We're looking for Data Labeling Specialists to categorize, tag, and annotate the data that powers cutting-edge AI — helping machines understand text, images, and audio the way humans do.
What if your attention to detail could directly influence how the world's most advanced AI systems learn and improve?
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 tech 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 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 data using predefined tag sets and structured guidelines.
Annotate text, images, or audio according to clear project instructions.
Maintain accuracy and consistency across large datasets.
Participate in calibration exercises to ensure quality standards are met.
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 platforms.
Self-motivated and reliable when working independently.
Preferred skills
Experience with data entry, quality assurance, or content moderation.
Familiarity with AI tools or platforms as an end user.
Background in research, editing, or any field requiring close attention to detail.
Experience and education
No prior labeling, AI, or technical experience required.
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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