Internship Details:
● Position: AI Systems Training Interns
● Duration: 2-3 months (potential to lead to a permanent position)
● Work Environment: Remote
● Compensation: Paid internship, £1500 per month (full time)

At Planna, we are dedicated to pushing the boundaries of AI technology to provide innovative solutions that help homeowners save money and streamline their expenses. As an intern, you will be an integral part of our dynamic team, working closely with experienced professionals in the AI field. This internship will provide you with a unique opportunity to enhance your skill set, gain practical experience, and contribute to the development of our AI systems.


● Assist in training our AI systems through data collection, analysis, and annotation
● Collaborate with the team to improve the accuracy and efficiency of our AI algorithms
● Conduct research and contribute to the development of new AI models
● Participate in virtual team meetings and provide valuable insights

● Currently enrolled as a student at a UK based university studying Building Surveying (2nd or 3rd Year under or postgraduate courses)
● Access to a computer and reliable internet connection
● Possess a smartphone with a camera for certain tasks
● Passion for Proptech and a strong desire to learn
● Strong problem-solving skills and ability to work independently
● Excellent communication and teamwork skills

The internship positions at Planna can be tailored to accommodate both full-time and part-time commitments, based on your availability and preferences. We understand the importance of striking a balance between work and personal life, and we are committed to providing a flexible and supportive work environment.

This is a unique opportunity to gain practical experience in a rapidly growing field, collaborate with industry professionals, and make a real impact on the development of AI technology in the realm of homeownership. Planna has a strong commitment to fostering diversity and inclusion, and we encourage applications from individuals of all backgrounds.