SAP China iXp Intern - Data Labeling

Descripción del puesto:

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

What you will build

* Text Annotation & Labeling: Perform advanced, multi-layer annotation on a variety of English texts (e.g., news articles, scientific abstracts, financial reports) according to detailed project guidelines.

* Quality Assurance: Maintain the highest standards of consistency and accuracy in all annotations. Participate in iterative review sessions to calibrate with the team and refine annotation guidelines.

* Tool Proficiency: Quickly learn and effectively utilize our proprietary or industry-standard text annotation platforms (e.g., Prodigy, Label Studio, Brat).

* Issue Reporting: Proactively identify and document challenging or ambiguous cases in the data, contributing to the continuous improvement of our annotation schema.

What you bring

* Currently pursuing a Bachelor's or Master's degree in Computational Linguistics, Linguistics, English or a related field

* Commitment of 5 days per week for at least 6-month internship onsite

* Exceptional reading comprehension and attention to detail.

* Native or near-native proficiency in English.

Nice-to-Have:

* TEM8 highly preferred.

* Additional language in German, French highly preferred.

* Prior experience with text annotation, data labeling, or linguistic analysis, even in an academic setting.

* Basic understanding of the concepts of Named Entity Recognition, Coreference, and Semantic Relations is a big advantage.

* Basic knowledge of Python or scripting is a plus, but not required.

Where you belong

The SAP Internship Experience Program is SAP's global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers. This is more than an internship; it's the foundation for a career built on connection, creativity and impact.

SAP HANA Predictive Analysis Library (PAL), the in-memory machine learning library with 100+ scalable &high-performance algorithms, is developed in SAP Labs, China. Within the team, we have PhD researchers, algorithm developers, data scientists, and system engineers to build the next generation of data platform and help enterprise customers to utilize machine learning & data science algorithms on enterprise data.

With this position you may gain:

* Hands-on experience with the foundational tasks of modern NLP and knowledge base construction.

* Deepen your practical understanding of linguistic phenomena and the challenges of making them machine-readable.

* Work directly with a team of NLP scientists and engineers and receive mentorship on real-world projects.

* Opportunity to contribute to research that may be published or integrated into live products.

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion
SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 453198 | Work Area: Administration | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid

Requisition ID: 453198

Posted Date: May 6, 2026

Work Area: Administration

Career Status: Student

Employment Type: Limited Full Time

Expected Travel: 0 - 10%

Location:
Shanghai, CN, 201203