AI is only as good as the feedback it receives — and that's where you come in. Your assessments directly influence how AI models learn, improve, and respond to real-world inputs.
This is a fully remote, flexible contract role open to candidates from a wide range of backgrounds. No prior AI or technical experience required.
Why Join Us
Fully remote — work from anywhere, on your own schedule.
Flexible hours — choose between 10 and 40 hours per week based on your availability.
Meaningful work — your feedback directly improves AI systems used by millions.
Cutting-edge projects — collaborate with top AI research labs on frontier technology.
Variety — work across diverse content types and subject areas, keeping tasks engaging.
Autonomy — freelance freedom with the stability of ongoing project availability.
Growth potential — strong performers are considered for contract extensions and new projects.
Responsibilities
Review AI-generated responses across text, image, and structured data formats for factual accuracy and relevance.
Rate content quality using clear, structured rubrics and evaluation guidelines.
Identify errors, inconsistencies, and opportunities for improvement.
Provide detailed written feedback to guide model development.
Work across a diverse range of topics and content types.
Complete assignments independently and asynchronously on your own schedule.
Required skills
Sharp eye for detail with strong analytical thinking.
Comfortable reading, evaluating, and critiquing written content.
Able to follow structured guidelines consistently and accurately.
Self-motivated and reliable — you manage your own time well.
Preferred skills
Background in research, editing, journalism, or quality assurance.
Experience evaluating content for accuracy or tone.
Familiarity with AI tools or data workflows.
Experience and education
No prior AI, data, 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.