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Intern, data labeler (turkish speaker) - (global discovery, consumer)

Berlin
Praktikum
Delivery Hero
Speaker
Inserat online seit: 9 Juli
Beschreibung

Job Description

We are on the lookout for an Intern, Data Labeler (Turkish 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

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

Qualifications

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

Nice to have:

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

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