Currently we are looking for German Subject Matter Expert | Portugal
· Schedule: Monday - Friday
· Shifts: Standard working hours
· Location: LACs Harbor
Our Customer is a leading autonomous driving technology company, focused on developing self-driving vehicles and next-generation mobility solutions. Through its autonomous ride-hailing service, the company leverages advanced AI, machine learning, and sensor technologies to deliver safe, reliable, and efficient transportation experiences
About the Role:
The Language and Local Policy Expert will be a crucial, embedded resource providing linguistic and cultural expertise to support the accurate and efficient execution of our labeling project, specifically focusing on data originating from Germany runs. This role ensures labeling policies and training materials accurately reflect local context, regulations, and language nuances, directly impacting data quality and operational efficiency.
Qualifications:
· Fluent in German (C2/Native) and English (B2/C1 or higher).
· Strong understanding of German culture, public infrastructure, traffic regulations, and road signage.
· 1+ years of experience in localization, translation, language quality, policy, content operations, or a related field.
· Experience working in a quality-focused, operational, or data-driven environment.
· Strong analytical and problem-solving skills with the ability to translate complex information into clear guidance.
· Excellent communication and stakeholder management skills.
· Experience creating, reviewing, or improving documentation, guidelines, or training materials.
· Ability to collaborate effectively with international teams across different time zones.
· Proactive, detail-oriented, and comfortable taking ownership of projects and outcomes.
Key Responsibilities:
o Serve as the German language and market expert for autonomous driving data projects, ensuring local relevance and accuracy.
o Translate, review, and localize policies, guidelines, and training materials for the German market. Partner with Quality and Policy teams to identify trends, reduce errors, and continuously improve labeling standards.
o Provide expert guidance on German traffic regulations, road signage, and cultural context to improve data quality.
o Support operations teams by resolving complex language or policy-related cases and driving consistent decision-making.
o Deliver knowledge-sharing sessions and training to enhance team understanding of German-specific requirements.
o Analyze quality insights and operational challenges, recommending improvements to processes, policies, and training.
o Act as the key point of contact for the German market, taking ownership of outcomes and stakeholder collaboration.
Our offer:
· Pleasant and inspiring working atmosphere
· Opportunity to be part of a rapidly expanding global organization with irreproachable reputation
· Professional development and clear career path
· Training & development opportunities
· Stable salary & relocation allowance*
*Relocation applicable only for international candidates joining us from abroad
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
