We're looking for Data Labeling Specialists to categorize, tag, and annotate the data that powers cutting-edge AI — helping machines learn to interpret text, images, and audio the way humans do.
What if a few focused hours of your week could directly shape how AI systems see, read, and understand the world?
This is a fully remote, flexible contract role open to anyone with a sharp eye for detail. No prior AI or tech experience required — just focus, consistency, and a commitment to quality work.
Why Join Us
Work on cutting-edge 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.
Responsibilities
Categorize and label data using clearly defined tag sets and annotation guidelines.
Annotate text, images, or audio across a variety of project types.
Maintain high accuracy and consistency across large datasets.
Follow quality standards and participate in calibration exercises to stay aligned with project goals.
Complete task-based assignments independently on your own schedule.
Required skills
Detail-oriented with a patient, systematic approach to structured tasks.
Able to follow precise instructions and apply them consistently.
Comfortable using web-based tools and platforms.
Self-motivated and reliable when working independently.
Preferred skills
Experience in data entry, quality assurance, or research.
Familiarity with AI tools or content platforms as an end user.
Background in any field that requires careful, methodical attention to detail.
Experience and education
No prior labeling, AI, or tech 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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