AI Content Expert II- German, AGI Data Services

Amazon is looking for an AI Content Expert II - German to help with annotations content generation and data analysis. As part of the Data Team you will be responsible for delivering high-quality training data to improve and expand AGIs Large Language Models (LLMs) capabilities.

Key job responsibilities
As an AI Content Expert you will be responsible for creating training data in German that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines identify tooling improvement opportunities and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below:

- Creating and annotating high-quality complex training data in multiple modalities (text image video) on various topics including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements

About the team
About AWS

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.



- C1 or equivalent fluency in German language
- High-School or equivalent diploma.
- 2 years of experience working with written language data including experience with annotation and other forms of data markup.
- Strong understanding of U.S.-based culture society and norms.
- Strong research skills to gather relevant information understand complex topics and synthesize multiple resources; understanding of basic academic integrity i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time.
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances direction and strategy.

- Bachelors degree in a relevant field or equivalent professional experience.
- Experience with creating complex data for LLM training and evaluation.
- 1 year(s) of experience working with command line interfaces and basic UNIX commands.
- Familiarity with common markup languages such as HTML XML Markdown.
- Familiarity with common standard text formats such as JSON CSV RTF.
- Working knowledge of Python or another scripting language.
- Familiarity with regular expressions syntax.
- Familiarity with Large Language Models.
- Comfort in annotation work that may include sensitive content.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.