AI is only as good as the feedback it receives — and that's where you come in. Your assessments directly influence how leading AI models learn, improve, and respond to real-world tasks.
This is a fully remote, flexible contract role with no AI or technical background required. If you have a keen eye for quality and clear analytical thinking, you're already qualified.
Why Join Us
Work on cutting-edge AI — your contributions directly improve AI systems used by millions.
Fully remote and flexible — work from anywhere, on a schedule that suits you.
Meaningful impact — help make AI more accurate, reliable, and trustworthy.
Variety — engage with a wide range of topics, content types, and challenges.
Autonomy — freelance freedom with the backing of a structured, supportive platform.
Ongoing opportunity — strong performers are considered for extended contracts 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 areas where AI outputs fall short.
Write clear, constructive feedback to guide model improvement.
Work across a diverse range of topics and content types.
Complete assignments independently on your own schedule.
Required skills
Strong attention to detail with a systematic, analytical approach.
Comfortable reading and critically evaluating written content.
Reliable, self-motivated, and able to meet deadlines without supervision.
Preferred skills
Experience in editing, research, fact-checking, or quality assurance.
Familiarity with rubric-based evaluation or structured feedback workflows.
Curiosity about AI and how language models work.
Experience and education
No prior AI or technical experience required — we'll provide guidelines and training.
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.