Linguist/Translator - Graduates - AI Training - Cancún, Mexico

About this role

Linguist/Translator - Graduates - AI Training The role We’re looking for Linguist/Translators to help train and evaluate cutting-edge AI models. If you have the necessary experience, we’ll send you a quick test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a Domain Expert participant, where you’ll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work , though many are shorter. What you’ll bring Advanced language skills and verifiable experience as being fluent in English and Italian/Spanish/French/German/Dutch. A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A PayPal account to receive payment from our clients What you’ll be doing in the role Completing AI training tasks such as analyzing, editing, and writing in Italian/Spanish/French/German/Dutch. Judging the performance of AI in performingItalian prompts Improving cutting-edge AI models Why Prolific is a great platform to join as a Participant Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of