AI Trainer - Freelance Annotator (English)

Please submit your CV 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 As an AI Trainer - Annotator, your contribution will help train AI models, shaping how they understand and interact with the world. This isn't just traditional feedback - you'll be evaluating and improving how AI reasons, responds, and handles real-world tasks like online shopping experiences. While each project involves unique tasks, contributors may: Evaluating AI-generated responses across a range of tasks, including e-commerce and online shopping scenarios, drawing on your own experience as an online shopper. Providing honest, detailed, and useful feedback that helps improve model and agent performance. Following style and quality standards to ensure consistency. Collaborating with Quality Assurance Specialists to refine and improve content. What we look for If you’re a professional who works with text, Mindrift offers a unique opportunity to apply your writing, editing, and creative and communication skills to an AI training project. This opportunity is a good fit if you are seeking for open to part-time, non-permanent projects. Ideally, contributors will have: Bachelor’s degree in any subject field; At least 1 year of professional or educational experience in any field; Strong written English (C1/C2); Stable internet connection. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $18 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.