What if your attention to detail could directly shape the future of artificial intelligence? Your work sits at the foundation of some of today's most exciting AI breakthroughs — and you don't need a tech background to get started.
This is a fully remote, flexible contract role open to anyone who is detail-oriented, reliable, and comfortable following structured guidelines. No prior AI or data experience required.
Why Join Us
Work on real, 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 clear, meaningful task-based work.
Contribute directly to AI development that impacts how technology understands the world.
Potential for ongoing work and contract extension as new projects launch.
Responsibilities
Categorize and label data — including text, images, and audio — using predefined tag sets and clear project guidelines.
Annotate datasets with accuracy and consistency to ensure high-quality AI training output.
Follow structured annotation frameworks and quality standards.
Participate in calibration exercises to stay aligned with project goals.
Complete task-based assignments independently on your own schedule.
Required skills
Highly detail-oriented with a methodical, consistent approach to repetitive tasks.
Comfortable following structured instructions precisely and systematically.
Self-motivated and reliable when working independently.
Familiar with basic web-based tools and platforms.
Preferred skills
Experience in data entry, quality assurance, or content moderation.
Familiarity with AI tools or annotation platforms as an end user.
Background in research, editing, or any field requiring precision and accuracy.
Experience and education
No prior labeling, AI, or tech experience required.
Equipment requirements
A stable internet connection is all the tech you need.
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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