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DE Annotations Auditor (German fluent), Community Feedback Annotation Team

at Amazon

Back to all Data Science / AI / ML jobs
A
Industry not specified

DE Annotations Auditor (German fluent), Community Feedback Annotation Team

at Amazon

GraduateNo visa sponsorshipData Science/AI/ML

Posted 12 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
South Africa

Join Amazon's Community Feedback Annotations team as a German-speaking Auditor, evaluating annotated datasets used to train and improve NLP models. You will verify annotations for consistency and accuracy, provide feedback to maintain quality, and help ensure data integrity across projects. The role involves domain-focused annotation skills, working independently to handle varying evaluation requests and supporting the development of AI-driven experiences for customers.

Our overall mission is simple: to be Earth’s most customer-centric company. We want Amazon to be the place where customers can find, discover, and buy anything online. Whatever our customers want, we will find the means to deliver it. With your help, Amazon will deliver world-class AI-generated experiences to our customers.

We are seeking a dedicated German-speaking Auditor to join our Community Feedback Annotations team and contribute to the development and enhancement of advanced natural language processing models. As an Auditor, you will evaluate annotated datasets used to train and improve generative AI models. Your meticulous attention to detail and linguistic expertise will play a crucial role in ensuring the accuracy and effectiveness of our models.


Key job responsibilities
Quality Assurance
Review and verify annotations made by fellow annotators for consistency, accuracy, and adherence to guidelines. Provide constructive feedback to maintain annotation quality.

Domain Expertise
Gain proficiency in understanding and annotating texts across various experiences and organizations, supporting the creation of specialized models.

Data Integrity
Ensure accuracy and integrity of annotated data through regular quality checks. Identify and address inconsistencies, maintaining a high standard of data cleanliness.


A day in the life
You will evaluate labels and annotated data for various projects across our organization. Some projects will run longer than others, but expect a variety of evaluation requests month to month.



About the team
Our team is passionate about human motivation and behavior and uses machine learning, classification algorithms, and scalable platform services to have a cross-org impact every day. We evaluate user research, customer experience knowledge, data, and cross-Amazon moderation expertise to ensure other teams think about customer trust.

Basic Qualifications

- Speak, write, and read fluently in German
- High School or equivalent diploma
- Experience influencing internal and external stakeholders
- Experience in writing and editing with a strong command of grammar, punctuation and style
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Can work proactively and independently, meet deadlines, and deliver on projects and tasks
- Experience handling confidential information
- Not currently on attendance probation or any conduct warnings in the last 3 months
- Strong computer skills, including proficiency with annotation tools and software.

Preferred Qualifications

- Proficiency in multiple languages, both spoken and written, with a keen eye for linguistic nuances.
- Prior experience in linguistic annotation, data labeling, or similar roles is a plus.
- Familiarity with natural language processing (NLP) and machine learning concepts is advantageous

Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DE Annotations Auditor (German fluent), Community Feedback Annotation Team

at Amazon

Back to all Data Science / AI / ML jobs
A
Industry not specified

DE Annotations Auditor (German fluent), Community Feedback Annotation Team

at Amazon

GraduateNo visa sponsorshipData Science/AI/ML

Posted 12 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
South Africa

Join Amazon's Community Feedback Annotations team as a German-speaking Auditor, evaluating annotated datasets used to train and improve NLP models. You will verify annotations for consistency and accuracy, provide feedback to maintain quality, and help ensure data integrity across projects. The role involves domain-focused annotation skills, working independently to handle varying evaluation requests and supporting the development of AI-driven experiences for customers.

Our overall mission is simple: to be Earth’s most customer-centric company. We want Amazon to be the place where customers can find, discover, and buy anything online. Whatever our customers want, we will find the means to deliver it. With your help, Amazon will deliver world-class AI-generated experiences to our customers.

We are seeking a dedicated German-speaking Auditor to join our Community Feedback Annotations team and contribute to the development and enhancement of advanced natural language processing models. As an Auditor, you will evaluate annotated datasets used to train and improve generative AI models. Your meticulous attention to detail and linguistic expertise will play a crucial role in ensuring the accuracy and effectiveness of our models.


Key job responsibilities
Quality Assurance
Review and verify annotations made by fellow annotators for consistency, accuracy, and adherence to guidelines. Provide constructive feedback to maintain annotation quality.

Domain Expertise
Gain proficiency in understanding and annotating texts across various experiences and organizations, supporting the creation of specialized models.

Data Integrity
Ensure accuracy and integrity of annotated data through regular quality checks. Identify and address inconsistencies, maintaining a high standard of data cleanliness.


A day in the life
You will evaluate labels and annotated data for various projects across our organization. Some projects will run longer than others, but expect a variety of evaluation requests month to month.



About the team
Our team is passionate about human motivation and behavior and uses machine learning, classification algorithms, and scalable platform services to have a cross-org impact every day. We evaluate user research, customer experience knowledge, data, and cross-Amazon moderation expertise to ensure other teams think about customer trust.

Basic Qualifications

- Speak, write, and read fluently in German
- High School or equivalent diploma
- Experience influencing internal and external stakeholders
- Experience in writing and editing with a strong command of grammar, punctuation and style
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Can work proactively and independently, meet deadlines, and deliver on projects and tasks
- Experience handling confidential information
- Not currently on attendance probation or any conduct warnings in the last 3 months
- Strong computer skills, including proficiency with annotation tools and software.

Preferred Qualifications

- Proficiency in multiple languages, both spoken and written, with a keen eye for linguistic nuances.
- Prior experience in linguistic annotation, data labeling, or similar roles is a plus.
- Familiarity with natural language processing (NLP) and machine learning concepts is advantageous

Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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