Data Labeler (Spanish Speaker) - (Global Discovery, Consumer)

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.

We are on the lookout for an Intern, Data Labeler ( Spanish Speaker) to join the Discovery team on our journey to always deliver amazing experiences.

At Delivery Hero, you’ll shape the global consumer experience for millions of users. Your work will have a direct impact on how we attract and retain customers, creating data-driven, personalized interactions that keep them coming back. As part of our Consumer Team, you’ll enhance customer satisfaction and drive global growth and profitability through innovative projects.

At the center of our marketplace is the Discovery organization. This team is currently building Search, Recommendation, and intent collection systems to power our brands like Foodpanda, Glovo, Pedidos Ya, Talabat - serving millions of requests every day. The systems we build are critical for our online marketplaces with high availability and performance requirements and drive meaningful commercial value. They require crafting control loops through data, machine learning, and online serving systems to serve millions of consumers worldwide.

 

In this role you will

• Accurately label and annotate various types of data, including images, text, audio, and video.
• Helping us in maintaining data quality and consistency, which directly impacts users' search experience, by adhering to established guidelines.
• Collaborate with the team to identify and resolve labeling discrepancies.
• Provide feedback on labeling guidelines and suggest improvements.

• Currently doing a Bachelor’s or Master’s degree in a related field: Business/Finance/Accounting/Engineering  or recently graduated. 
• Ability to deal with lots of data resources and documents
• Fluency in spoken and written English & Spanish .
• Availability of 20 hours per week for 6 months. 

 

Nice to have: 

• interest in machine learning concepts.
• Experience with specific data labeling tools.

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.

• Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week

• We offer 27 days holiday

• We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support, access to the Udemy Business platform to explore a variety of online courses

• Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Mindfulness and Gym & Bicycle Subsidy

• The power of getting together over some food is unrivalled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses and access to Internal Housing Hub

 

Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today!

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you.

We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at [email protected] it in your application.

Severely disabled applicants with equal qualifications will be given preferential consideration.

You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.