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Home›Jobs›Amazon›DE Annotations Auditor, Community Feedback Annotations team
Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA⭐ 3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

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Amazon

DE Annotations Auditor, Community Feedback Annotations team

Amazon • Cape Town, Western Cape, ZAF

Posted 11 months ago🏛️ On-SiteEntry-LevelAuditor📍 Cape town
Apply Now →

Job Description

Our overall mission is simple: To be earth’s most customer centric company. We want Amazon to be the place where our 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 team and contribute to the development and enhancement of advanced natural language processing models. As an auditor, you will be responsible for evaluating annotated datasets that will be 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, organizations and more, to support the creation of specialized models.

Data Integrity: Ensure the accuracy and integrity of the annotated data by performing regular quality checks, identifying and addressing inconsistencies, and 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 last longer than others, but expect a variation of different 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.Native German Speaker
Candidates must have completed
at least 6 months Auditing experience in Quality assurance or Annotations teams providing both German and English Support
Matric/Grade12/NQF4 or equivalent or higher qualification/s

Comfort and experience communicating and influencing across job levels with both internal and external partners

Can deep dive on audited results to find root causes

Must be exceeding quality targets and productivity targets for the last 3 months

Not currently on attendance probation or any conduct warnings in the last 3 months

Strong understanding of linguistic concepts, grammar, syntax, and language variations.

Detail-oriented with exceptional analytical and problem-solving skills.

Excellent communication skills, both written and verbal, to collaborate effectively with cross-functional teams.

Ability to work independently, prioritize tasks, and manage time effectively in a fast-paced environment.

Strong computer skills, including proficiency in using annotation tools and software.

Ethical and professional approach to handling sensitive data and maintaining confidentiality.
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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