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We’re UpCircle Technology AG

We are building intelligent infrastructure to fight waste, literally.
Every day, thousands of tons of recyclable materials are lost due to poor visibility and manual decisions. We fix that. Our computer vision systems and AI tools help recycling plants across Europe see what’s really in their waste streams, improve quality, reduce landfill, and make sustainability profitable.

If you want to build tech that solves real-world problems and drives real-world impact — we’re hiring!

Student Position (8-10h/week) - Data Annotation and Validation for Machine Learning - 30CHF/h

Location

Zurich, Switzerland

Department

Tech

Type

Student Job

Site

Flexible

Job Description

Posted on:

May 6, 2025

Jump-start your career in AI. Join our team as a working student and support the development of high-quality datasets for computer vision applications in recycling. You will work hands-on with annotation tools, ensure data consistency and quality, and support the integration of annotated data into our machine learning pipelines, an ideal early entry point for students interested in ML!

Responsibilities

Label and annotate image data using specialized tools for computer vision tasks (e.g., object detection, segmentation).
Ensure data quality by using internal data curation tools and validation processes.
Support the integration of annotated data into our machine learning pipelines.
Help organize, version, and store datasets efficiently.
Collaborate closely with ML engineers to understand how your work supports model development.

Requirements & Qualifications

Currently enrolled at a Swiss university in a technical or scientific field.
Strong attention to detail and a focus on producing high-quality work.
Strong interest in data, AI, and machine learning applications.
Basic understanding of Python.
Comfortable using Linux and handling large volumes of files.
Minimum commitment: one semester, with option to extend.

Bonus++