Working Student (AI)

TL;DR

Working Student (AI): Performing image and data annotation for machine-learning production pipelines with an accent on dataset curation and quality control. Focus on improving ML model training sets and ensuring high precision in labeling.

Location: On-site in Munich (Werksviertel), Germany

Company

hirify.global designs and builds the technology behind World, creating a real human network to verify identity in the age of AI.

What you will do

• Perform image and data annotation, including bounding boxes, labels, and metadata corrections.
• Conduct quality assurance and consistency checks on labeled datasets.
• Prepare and clean datasets for training ML models and maintain audit logging.
• Support data-collection workflows, documentation, and participant metadata management.
• Contribute to annotation guidelines and iterate on internal tooling using Streamlit and MongoDB.
• Apply privacy, ethics, and data-handling best practices for sensitive biometric data.

Requirements

• Currently enrolled at a university (required for working-student contract)
• High attention to detail and consistency in repetitive tasks.
• Ability to learn new tools and processes quickly.
• Strong communication skills and ability to collaborate in a multidisciplinary team.
• Good command of English

Nice to have

• Basic Python scripting skills.
• Familiarity with databases such as MongoDB or Snowflake.
• Prior experience in data annotation.

Culture & Benefits

• Practical experience with real ML production pipelines and data workflows.
• Flexible schedule (20 hrs/week) tailored to lectures and exam periods.
• Modern workspace in Munich with daily catering and refreshments.
• Compensation above market standard for student roles.
• Structured training in data privacy, ethics, and internal tooling.
• Potential for career extension after graduation or a thesis project.