AI Trainer
Pubblicato il 22-08-2026 - Mindrift - Data annotation in Italia
Please submit your resume in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What this opportunity involves
Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses — when projects are available.
While each project involves unique tasks, contributors may:
Carefully review provided data (text, images, or videos);
Label or classify content based on project guidelines;
Identify and flag factually incorrect, sensitive, inappropriate, or unclear material.
What we look for
This opportunity is a good fit for candidates open to part-time, non-permanent projects. Ideally, contributors will have:
Bachelor’s degree in any discipline;
Minimum 1 year of experience in any professional role;
Logical thinking,
fact-checking and reasoning abilities;
Strong attention to detail and ability to understand and follow complex instructions;
Strong communication skills, including the ability to ask clarifying questions when needed;
Genuine interest in technology and artificial intelligence;
Strong written and spoken English (C1+).
How it works
Apply → Pass qualification(s) → Join a project (when available) → Complete tasks → Get paid
Why this freelance opportunity might be a great fit for you
Take part in a tempo parziale, remote, freelance project that fits around your primary professional or academic commitments;
Participate into advanced AI projects and gain valuable experience that enhances your portfolio;
Influence how future AI models understand and communicate in your field of expertise.
Project time expectations
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on proj