
11 - 50 employees
🤝 B2B
☁️ SaaS
B2B • SaaS • Digital Signage
Xibo Open Source Digital Signage is a platform for creating and managing digital signage solutions. It provides an open-source environment for users to create and publish digital content on a variety of display screens. Xibo allows for scheduling content, displaying dynamic media, and integrating with various data sources to deliver real-time information to audiences. It is particularly useful for businesses and organizations looking to utilize digital signage for advertising, informational displays, or interactive customer engagement.
🕒 April 17
🏄 California, Connecticut, +2 more states – Remote
💵 $50 / hour
👨🎓 Internship
⚪️ Entry-level
🤖 Artificial Intelligence
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11 - 50 employees
🤝 B2B
☁️ SaaS
B2B • SaaS • Digital Signage
Xibo Open Source Digital Signage is a platform for creating and managing digital signage solutions. It provides an open-source environment for users to create and publish digital content on a variety of display screens. Xibo allows for scheduling content, displaying dynamic media, and integrating with various data sources to deliver real-time information to audiences. It is particularly useful for businesses and organizations looking to utilize digital signage for advertising, informational displays, or interactive customer engagement.
• Conduct innovative research in AI ethics, including but not limited to data collection, AI evaluation and harm mitigation. • Contribute to the development of tools and frameworks to assess and mitigate AI-related risks in natural language processing and computer vision, such as bias, privacy, copyright and transparency. • Improve the performance of open models to detect and mitigate AI harms. • Set up technical experiments to conduct evaluations of open models. • Contribute to research with the potential for publication.
• Currently pursuing a degree (PhD preferred) in Computer Science or socio-technical AI topics. • Strong foundations in AI and machine learning techniques in computer vision or natural language processing. • Familiarity with generative AI evaluation, benchmarking, red-teaming or guardrail development. • Experience using Python and deep learning libraries (e.g., PyTorch , HuggingFace Transformers) to develop, fine-tune, or evaluate generative AI models. • Strong interest in AI ethics and responsible AI development. • Proven research, analytical, and problem-solving skills. • Self-motivated and capable of proposing and implementing innovative ideas. • Excellent written and verbal communication skills in English. • Preferred: Experience with research communities, including having published papers at conferences/journals.
Apply Now🕒 April 15
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👨🎓 Internship
⚪️ Entry-level
🤖 Artificial Intelligence
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