EU remote
AI Trainers Network - Arabic
About this role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Trainers Network – Arabic based in Switzerland. Join a global network of language professionals and culturally aware contributors helping shape the future of artificial intelligence. In this flexible, remote opportunity, you can contribute to projects that improve the accuracy, relevance, and inclusivity of AI systems.
Depending on your skills and availability, you may work on text, image, or audio annotation, content evaluation, and prompt creation. Your Arabic language expertise and cultural understanding will help make AI-generated content more natural, reliable, and representative of diverse communities. Projects vary in scope and duration, offering opportunities to gain experience with emerging AI technologies while working on your own terms.
This is a talent network opportunity rather than an active job opening, meaning you will be contacted when a suitable project becomes available. Before each project begins, you will receive clear information about the tasks, timeline, and compensation so you can decide whether it fits your interests and availability. Accountabilities As a contributor to the AI Trainers Network, you will support projects designed to improve AI performance, language understanding, and content quality.
Depending on the project requirements and your areas of expertise, your responsibilities may include: Annotating and labeling text, images, or audio to help train and improve AI models. Evaluating search results, advertisements, and chatbot responses for accuracy, relevance, quality, and usefulness. Creating, testing, and refining prompts to improve the performance of large language models (LLMs). Reviewing AI-generated content to ensure linguistic accuracy, natural Arabic expression, and cultural appropriateness.
Identifying errors, inconsistencies, and potentially misleading or unsuitable content in AI outputs. Applying project-specific guidelines and quality standards while maintaining consistency and attention to detail. Contributing feedback that helps develop safer, more inclusive, and human-centered AI systems. Managing assigned tasks independently and meeting project deadlines according to agreed requirements and availability.