AI Data Labeling - Working Student (m/w/d)

Getsafe is the digital insurance company guiding people to make smart life choices and there by their side when the worst happens.

Getsafe makes insurance simple, fair and accessible with its unique technological platform and all-in-one app. Our digital insurance replaces complexity and manual paperwork with smart assistants; customers can file claims or change their coverage in real time with just a few taps on their smartphone. Our expert consultants are ready to help with questions or choosing the best insurance tailored to any life situation. No German? No problem! Getsafe offers insurance and support 100% in English, so people can get covered, and get on with enjoying life.

Since launching in Germany in 2018, Getsafe has become one of the best-rated insurtechs in Europe, serving over 500,000 customers. Headquartered in Heidelberg, Germany, with an additional office in Berlin, the company employs more than 200 people. In 2021, Getsafe received its insurance licence from Germany’s financial regulator, BaFin. With €120 million raised to date, it is one of Europe’s top 10 funded insurtechs.

WHAT WE'RE LOOKING FOR:

We are looking for a motivated working student to assist with data labeling tasks with the goal of optimising our AI performance. The ideal candidate is detail-oriented, reliable, and able to work independently to ensure data is accurately categorised and annotated. No prior experience in AI is required, but a commitment to quality and precision is essential.

YOUR MISSION:

• Annotate unstructured data, including images, with accurate metadata to support AI model improvements
• Extract key information, such as invoice details, from PDFs and images for structured data processing
• Collaborate with the AI team to ensure data quality and contribute to the continuous improvement of labeling processes
• Maintain consistency and accuracy in all labeling tasks to optimise AI model performance
  
  
  

ABOUT YOU:

• Strong attention to detail and accuracy in completing tasks
• Able to work independently and manage time efficiently
• Reliable and organised with a structured approach to work
• Open to learning and following established guidelines for data labeling
• Good communication skills to clarify instructions and provide feedback when needed
  
  
  

GETSAFE PRINCIPLES:

Customer Empathy

We simplify insurance by aligning our vision with every interaction, maintaining transparency, and building togetherness and trust with our customers.

Absolute Ownership

We pursue excellence relentlessly, taking full ownership, and ensuring everyone knows their role to contribute to our mission.

Day One Mindset

We strive to continually act as pacemakers, constantly optimising, thinking ahead, and inspiring greatness to build a scalable and impactful future.

Driver Team

We communicate effectively, collaborate positively, and drive success as equals, united by respect and an inspiring mission.

PERKS & BENEFITS:

• Remote, hybrid or office? The decision is yours! Work where and how you want in Germany. Our modern offices are centrally located in Berlin or Heidelberg.
• Escape the ordinary with a Workation, granting you the freedom to work remotely for up to an incredible 90 days in any EU destination of your choosing.
• Invest in your future success through our coveted Employee Stock Ownership Program (VSOPs), where you can claim your stake in the company and become a true partner in our shared journey of growth and innovation
• Grow with us and use your personal Getsafe budget of 1.000 € for personal and professional development
• Experience our own product offering with a Getsafe insurance voucher to safeguard what matters most to you
• Set yourself up for success by selecting your preferred hardware from our offerings of Apple or Microsoft.
• Join us in the spirit of celebration as we regularly come together for exciting team events, including summer and christmas parties, hackathon, etc.
  
  
  

Getsafe is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status.

Interested? Let's chat!