We're looking for AI Training Specialists to work on structured tasks that teach AI models to be smarter, more accurate, and more useful — for everyone.
What if your everyday skills could directly influence how the world's most advanced AI systems think, respond, and improve?
This is a fully remote, flexible contract role open to motivated individuals from virtually any background. No technical or AI experience required — just attention to detail and the ability to follow clear guidelines.
Why Join Us
Work on cutting-edge AI projects alongside top research labs.
Fully remote and flexible — work when and where it suits you.
Freelance autonomy with meaningful, task-based structure.
Contribute to AI development that has a real-world impact on millions of users.
Variety of task types across content formats keeps work engaging.
Potential for ongoing work and contract extension as new projects launch.
Responsibilities
Complete structured evaluation and labeling tasks that directly train AI systems.
Rate, classify, and annotate AI-generated content across text, image, and audio formats.
Follow detailed task guidelines and rubrics to maintain accuracy and consistency.
Provide clear, structured feedback on AI outputs using provided evaluation tools.
Work independently and asynchronously — entirely on your own schedule.
Required skills
Detail-oriented with a strong ability to follow instructions precisely.
Self-motivated and comfortable working independently without supervision.
Confident using web-based tools and platforms.
Curious and methodical — you take quality seriously.
Preferred skills
Experience in content review, editing, research, or quality assurance.
Familiarity with AI tools or platforms as an end user.
Background in data entry, annotation, or evaluation workflows.
Experience and education
No prior AI, technical, or specialized experience required.
Language requirements
Clear and effective written communicator in English.
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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