AI is only as good as the feedback it receives — and that's where you come in. Your assessments directly shape how AI models learn, improve, and respond to real-world tasks.
This is a fully remote, flexible contract role that fits around your schedule — whether you're looking for a side project or a substantial part-time commitment.
Why Join Us
Work on the frontier of AI — contribute to projects with leading AI research labs.
Fully remote and flexible — work when and where it suits you.
Meaningful impact — your feedback directly improves AI systems used by millions.
Variety — engage with diverse topics and content types, never the same thing twice.
Autonomy — freelance freedom with the backing of an organized, supportive platform.
Ongoing opportunity — strong performers are considered for continued and expanded work.
Responsibilities
Review AI-generated responses for factual accuracy, relevance, and overall quality.
Rate content using structured rubrics and clear evaluation guidelines.
Identify errors, inconsistencies, and areas where AI outputs fall short.
Write clear, actionable feedback to help guide model improvement.
Work across a variety of content types, topics, and formats.
Complete assignments independently on your own schedule.
Required skills
Strong attention to detail — you notice what others miss.
Solid reading comprehension and analytical thinking skills.
Able to evaluate content objectively and apply consistent standards.
Self-motivated and reliable when working independently.
Preferred skills
Experience in editing, research, fact-checking, or quality assurance.
Familiarity with structured evaluation or annotation workflows.
Background in writing, journalism, or academic research.
Experience and education
No prior AI or technical experience required — we'll provide guidelines and training.
Language requirements
Clear and concise 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.