AI Trainers Network
Pubblicato il 05-10-2026 - Lever in Bologna
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI Trainers Network - Maltese based in Italy.
Join a global contributor network helping shape the next generation of artificial intelligence through human expertise and linguistic insight.
This opportunity is designed for Maltese speakers interested in flexible, remote AI projects across annotation, evaluation, and prompt creation.
You may contribute to improving the accuracy, relevance, cultural awareness, and inclusivity of AI systems.
Projects can involve reviewing content, evaluating AI outputs, labeling data, or creating and testing prompts for large language models.
The work varies in scope and complexity, with assignments ranging from a few days to several weeks.
You will receive clear information about each project’s tasks, timeline, and compensation before deciding whether to participate.
It is an opportunity to contribute on your own terms while gaining experience in the rapidly evolving AI and language technology space.
Accountabilities:
- Annotate and label text, images, audio, or other data used to train and improve AI systems.
- Evaluate search results, advertisements, chatbot responses, and other AI-generated content for quality, relevance, and accuracy.
- Create, test, and refine prompts designed to improve the performance of large language models.
- Review content for linguistic, cultural, and contextual accuracy, particularly from a Maltese-language perspective.
- Apply detailed project guidelines consistently while maintaining high standards of accuracy and quality.
- Adapt to projects with different scopes, requirements, timelines, and levels of complexity.
- Review project instructions and determine whether individual assignments align with your skills and availability.
Requirements:
- Native or near-native fluency in Maltese.
- Strong English proficiency for understanding project instructions and communicating effec