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Crea una Job Alert gratuita per italian - ai product evaluator / trento

Italian - AI Product Evaluator

Pubblicato il 15-10-2026 - Productive Playhouse in Trento

Italian AI Product Evaluator The Project Productive Playhouse is building a talent pool of Italian speakers for an upcoming project testing and evaluating leading AI chatbots. The objective is to enhance response quality through direct user interaction with the various AI models. Open to freelancers based outside the U.S. The Details We're looking for independent contractor engagement (task-based - project-based). * Pay Rate: $18.00 USD per hour * 100% remote * You choose which tasks to take, set your own hours, and are free to work with other clients any time. You can stay flexible as the project evolves. * This is an iterative project, work arrives in batches (there may be pauses between them). What You'll Do As an AI Evaluator, you'll play a critical role in shaping and improving the next generation of Generative AI. You'll participate in structured, hands‐on evaluations by interacting directly with various AI models to assess their capabilities, safety, and helpfulness. Your insights and data will directly inform model development and optimization.



Exact tasks vary by project and will be spelled out in that project's Statement of Work (SOW) before you start. Depending on the role, your work may include: * Testing and evaluating AI chatbots or language models through structured conversations, using assigned goals and prompts. * Voice‐based interactions with AI models — for projects that involve this, sessions are recorded, and audio may be shared with the client as part of the evaluation deliverable. * Submitting deliverables (write‐ups, ratings, screenshots, or recordings) in the format each task specifies. What We're Looking For * Native or expert‐level fluency in Italian, as spoken in Italy * Strong English reading, writing, and communication skills - assessment maybe required * 18 years of age or older * Hands‐on experience using AI models or large language models * Comfortable with both written and voice‐based conversation — and good at asking sharp follow‐u

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