Machine Learning Assistant

  • Tools For Humanity GmbH
  • Working Student
  • Public Institution
  • August-Everding-Straße, 2581671 München
  • https://www.toolsforhumanity.com/
  • 17,50€
  • Full & Part Time
  • English

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About us
Tools for Humanity builds practical, privacy-minded AI tools that expand economic opportunity and create more inclusive technologies. Our Labelling & Data Collection team develops the high-quality datasets and tooling that power robust, responsible computer-vision systems — including biometric and NFC data collection — with a strong focus on data quality, privacy and fairness. We’re based in Munich’s Werksviertel.

Working student (20 hrs/week)
Support dataset curation and annotation for production computer-vision pipelines: image and metadata labeling (bounding boxes, labels, corrections), quality assurance and consistency checks, dataset cleaning and audit logging, and support for data-collection workflows and documentation. Optional small scripting tasks (Python) and involvement in tooling/engineering syncs.

Qualifications
Currently enrolled at a university; highly detail-oriented, reliable and consistent; fast learner and good communicator; comfortable with web apps and spreadsheets. Good command of English (German advantageous). Basic Python and familiarity with databases (MongoDB or Snowflake) or prior annotation experience are a plus. No prior ML experience required — training in privacy and handling biometric/sensitive data provided.

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