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We are seeking an AI/AGI Intern to join our team at FloLabs Innovations Group , where you'll play a key role in advancing artificial intelligence technologies for our humanoid robot. This position offers an unparalleled opportunity to contribute to pioneering AI and AGI (Artificial General Intelligence) research, helping shape the future of intelligent robotics and machine learning systems.
As an AI/AGI Intern, you will develop and optimize AI algorithms, conduct data analysis, and train machine learning models for real-world robotic applications. You will collaborate closely with robotics engineers, data scientists, and AI researchers, ensuring seamless integration of AI systems into autonomous robotic platforms.
Additionally, you will engage in continuous research and evaluation of emerging AI tools to enhance productivity, staying abreast of the latest technological advancements. This proactive approach ensures our team remains at the forefront of innovation, integrating cutting-edge solutions into our workflows. This internship is ideal for individuals passionate about AI-driven innovation, robotics, and scientific discovery.
Stay at the Forefront of Innovation:
Explore the latest advancements in AI, AGI, and robotics, contributing to scientific publications and research papers.
Fully Remote & Flexible Schedule:
This internship is entirely remote, allowing you to contribute from anywhere. You can choose to work full-time (up to 40 hours per week) or part-time (a minimum of 8-10 hours per week) based on your availability.
On-site Internship (Optional):
If interested, we can offer onsite internships at two locations: Austin, Texas, and Lemnos, Greece.
Work on Cutting-Edge AI Projects:
Contribute to AI-driven humanoid robotics, advancing machine learning, AGI algorithms, and real-world applications.
Interdisciplinary Collaboration:
Work alongside AI researchers, data scientists, and robotics engineers, gaining hands-on experience in applied AI and robotics.
Hands-On Machine Learning & AI Development:
Ready to join the team? Complete the application form below.
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Build practical skills in algorithm optimization, neural networks, and autonomous decision-making.