Data Collection Assistant – Workwear Classification (Temporary Employment)
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Job Overview
We are seeking a hands-on, reliable 'Student Assistant' to support our AI data collection process focused on workwear classification and soiled item sorting. This role is crucial in helping us train advanced machine learning models by ensuring accurate and high-quality data capture.
Your Responsibilities
- Place workwear items on the conveyor system according to provided instructions.
- Ensure items are positioned correctly for accurate data capture.
- Monitor the process and report any issues with item flow or system behavior.
- Handle garments carefully and maintain an organized work area.
Your Profile
- Comfortable with hands-on, physical tasks in a workshop or production-like environment.
- Attention to detail and ability to follow instructions precisely.
- Proactive, communicative attitude — willing to speak up if something isn’t working.
- Reliability and punctuality — dependable support during data collection phases.
No prior AI or technical experience is required — just a willingness to learn and contribute to innovative work that advances automation in textiles and robotics.
Why Join Us?
- Flexible working hours with morning or afternoon shifts.
- Competitive hourly pay.
- Opportunity to work on cutting-edge AI projects in a real-world setting.
- Supportive, collaborative team environment.
- Casual dress code suitable for manual tasks.
- Potential for future roles in data operations or technical support.
Additional Information
For questions or more details, contact our Talent Partner, Fatima:
- Email: fatima.sakhawat@sewts.de
- WhatsApp: +49 1577 74 44 352
About sewts
We are automating complex processes by teaching robots human-like perception skills. Our diverse team is passionate about robotics, AI, and creating impactful solutions. Join us in pushing boundaries and shaping the future of automation.
Job Details
- Seniority level: Entry level
- Employment type: Part-time
- Industries: Hospitals and Healthcare, Non-profit, Government