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You will be updated with latest job alerts via emailAt sewts we automate what others cant. Gripping of deformable materials like textiles is a task most humans see as intuitive and simple. However this is a complicated task for robots as they lack the detailed and contextual understanding of where and with what level of sensitivity to handle these textiles. As deep-tech enthusiasts we teach robots human-like perception skills.
We are building a foundational technology stack . JUPITER uses genAI to simulate realistically the behavior of deformable & soft objects to create corresponding computer vision models and grabbing strategies. Based on our physical AI first time ever robots get enabled to handle soft & deformable materials. With over 10M in funding we will bring automation into all untapped industries like cloth manufacturing textiles handling recycling & e-commerce.
We are looking for a hands-on reliable Student Assistant to support our AI data collection process focused on workwear classification and soiled item sorting. This role is essential in helping us train cutting-edge machine learning models by ensuring accurate high-quality data capture.
This is how you will support us:
Place workwear items on the conveyor system according to provided instructions.
Ensure items are positioned correctly for the data collection system to capture accurate information.
Monitor the process and report any issues with item flow or system behavior.
Handle garments carefully and keep the work area organized.
Comfortable with hands-on physical tasks in a workshop or production-like environment.
Attention to detail and the ability to follow instructions precisely.
A proactive communicative attitude youre not afraid to speak up if something doesnt work.
Reliability and punctuality we depend on you for consistent support during key data collection phases.
No prior AI or technical experience is required just a willingness to learn and contribute to innovative work that powers the future of automation in textiles and robotics.
Flexible Working Hours:
Choose from morning or afternoon shifts to fit your schedule.
Competitive Hourly Pay:
Fair compensation for hands-on work in a growing tech environment.
Work with Real AI Innovation:
Be part of a cutting-edge project training AI systems in the real world no prior tech experience needed.
Friendly Supportive Team:
Work in a collaborative and respectful environment where your contributions are valued.
Casual Dress Code:
Wear comfortable clothing suitable for light manual tasks.
Opportunity for Future Roles:
Stand out and you may be considered for future full-time or long-term positions in data operations or technical support.
Required Experience:
Intern
Part-Time