Jobs at Amazon

• 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.

Basic Qualifications

• 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.

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.

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Key job responsibilities

• Receiving and storage of IT asset and peripheral orders
• Picking IT assets for configuration, deployment and shipping
• Maintain inventory levels including receiving, storage, organization, and auditing
• Preparation of IT assets for transportation in line with IT and Information Security polices
• Appropriate management of returned IT assets for reuse, reverse logistics processes, or disposal

Basic Qualifications

• Highly self-motivated and customer-centric
• Ability to work under supervision
• English Language Skills

Preferred Qualifications

• Experience with Microsoft Office Excel, and Outlook
• Experience in customer service
• Previous experience in Warehouse Environment.
• Excellent written and verbal communication skills
• Ability to prioritize work based on department and production objectives

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• Amazon is looking for a Business Analyst based in Cape Town with experience working to deliver annotated training and evaluation data to train AI models, who will have responsibility to assess the output produced by human in the loop annotators and ML models assessing the quality and provide helpful insights to science teams to improve ML models. Our mission is to employ a leader of leaders who is able to empower, develop and grow their team and to support them in achieving our organizational goals.
• The role will require you to be a leader who prioritizes supporting their team and ensuring defects do not persist. Your role will be to help set and oversee the quality standards of the data the team produces.
• The ideal business analyst ensures that the teams priorities and tasks are aligned to supporting the delivery of high quality labeled/annotated data to support the delivery of ML AI model experiences. To achieve this, an ideal Business Analyst coaches, develops and supports the team to build a work environment where annotators are engaged and feel a positive sense of achievement about their role in delivering world class data.
• You will also be responsible for producing reports that show the quality assessments completed by your team as well as conducting data analysis to identify key drivers and insights that may be reducing the effectiveness of the models outputs. You will produce reports and evidence backed by data and present these findings to science, engineering and business teams.

Key job responsibilities
Leadership

• Knows and communicates the Amazon mission, vision and strategy
• Demonstrates passion for delivering a positive customer experience, and maintain composure in difficult situations
• Demonstrates the ability to give overall direction, performance, coordination and evaluation
• Experience interviewing and selecting people who will maintain a high-performance bar in Amazon
• Strong interpersonal and communication skills, good listener, used to interact with up to Director level
• Positive communicator who understands when necessary how to have tough conversations
• Ability to confidently facilitate team discussions and communicate business messages
• Maintains a high level of professionalism and approachability
• Can adapt well to changing circumstances, direction, and strategy
• Ability to organize, prioritize and schedule work assignments
• Proven ability to manage reporting, data manipulation and analysis
• Experience managing core business KPI’s
• Assist in developing and implementing training programs to improve the quality and productivity of the team

Operational Delivery

• Understands operational principles of service delivery and uses data to support continuous improvement
• Ability to use data and insights to prepare metric reviews
• Acts as the operational representative for business teams to understand voice of the partner in key process or policy changes
• Builds plans to test and experiment new approaches to service delivery

Continuous Improvement

• Uses data to identify areas of ongoing improvement in how service is delivered
• Guideline Development: Collaborate with the annotation team and linguistic experts to refine and develop annotation guidelines, taking into consideration different language nuances, linguistic phenomena, and use cases.
• Feedback Loop: Continuously communicate with the model development team to provide insights and observations regarding annotation challenges, linguistic subtleties, and potential improvements for the language model's performance.
• 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.
• Collaboration: Work closely with other annotation team members, data scientists, and linguists to ensure effective collaboration and knowledge sharing, contributing to a positive and productive work environment.
• Adaptation: Keep up-to-date with the latest linguistic trends, developments, and emerging language phenomena to adapt annotation strategies and guidelines accordingly.

Basic Qualifications

• Business Analyst with experience working to deliver annotated training and evaluation data to train AI models. Experience working with large data and Quicksights dashboards (building and modification).

Preferred Qualifications

• Experience working with ASW S3 buckets and data input and output workflows.