Amazon

The Data Associate role at Amazon Japan focuses on supporting AI development by evaluating and labeling various data types (text, voice, image, video). Key responsibilities include generating high-quality human judgment data, monitoring harmful content from generative AI, and managing data privacy and security. The role also involves quality control, proposing improvements, and collaborating with the team. While no prior experience is required, a willingness to learn is valued. Fluency in Korean is essential, with proficiency in Japanese or English also required.

This role focuses on foundational data labeling for AI, specifically dialogue evaluation across text, speech, audio, image, and video data. The associate will use in-house tools to deliver high-quality labeled data, meet KPIs, and contribute to the responsible development of AI models. Key responsibilities include analyzing root causes of errors, identifying process improvements, and providing floor support.

This role focuses on foundational data labeling for AI, including text, speech, audio, image, and video data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and analyze root causes of errors to improve labeling tasks. The role involves daily operational deliverables, floor support, and contributing to the responsible development of generative AI.

This role focuses on building statistical and machine learning models using large datasets to optimize product performance and support data-based decision making. The Data Scientist III will own data science elements of products, translate business problems into data requirements, and develop data science solutions. They will also be responsible for communicating analysis results and bridging uncertainty in problem definition and solution approaches.

This role is a Data Solutions Lead within Amazon's AGI-DS team, focusing on ML/Generative AI data collection. The lead will act as a trusted advisor to scientists, providing expert consultation on data collection, managing customer relationships, and driving business value through technical advisory. Responsibilities include translating research goals into data collection requirements, managing workflows, ensuring data quality, and influencing technical documentation. The role requires strong customer communication, ML data operations experience, and an understanding of data annotation and ML workflows.

This role focuses on building and deploying machine learning models for global demand forecasting in the context of Amazon Leo's satellite broadband initiative. The Data Scientist will integrate data from various sources, develop bandwidth usage models, and ensure seamless integration with capacity planning systems. They will also contribute to the technical roadmap and evaluate AI systems, with a focus on assessing GenAI model performance.

The ML Data Associate I role at Amazon focuses on performing annotation and data processing tasks for ML data, including audio, image, video, and text. The role involves collecting ground truth data, executing detail-oriented exercises, applying language skills, and meeting daily productivity and quality targets. It also includes performing quality audits, reporting results, adhering to compliance requirements, and testing new ML data tools.

The ML Data Associate I role at Amazon focuses on performing annotation and data processing tasks for ML data, including audio, image, video, and text. The role involves collecting ground truth data, executing detail-oriented exercises, applying language skills, and meeting daily productivity and quality targets. It also includes performing quality audits, reporting results, adhering to compliance requirements, and testing new ML data tools.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

This role involves performing quality audits and manual reviews of data processed by Data Associates to ensure high standards for AI development and training. It requires coaching Data Associates, identifying root causes of quality issues, and validating automated quality measurement systems. The role emphasizes attention to detail, analytical skills, and compliance with quality standards.

This role focuses on quality auditing for AI data services, involving manual review and validation of automated quality measurements to ensure high standards in data quality for AI development and training. It requires experience in ML/Data Labeling operations and understanding of data annotation and quality metrics.

This role focuses on quality auditing for AI data services, involving manual review and validation of automated quality measurements to ensure high standards in data quality for AI development and training. It requires experience in ML/Data Labeling operations and understanding of data annotation and quality metrics.

The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role.

The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role.

The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role.

The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role.

The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role.

The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

The Catalog Specialist II role at Amazon supports the development of Machine Learning (ML) models and data science classification algorithms by performing data annotation and collaborating with science and technology teams. The role focuses on ensuring high-quality annotated data to optimize model performance and improve efficiency and accuracy of annotation processes.

This role supports the development of ML models and classification algorithms by performing data annotation and labeling. The Catalog Specialist will work closely with product, technology, and science teams to ensure high-quality annotated data for model training and evaluation, aiming to improve customer experiences within Amazon's returns and sustainability group.

This role involves training and improving Amazon's generative AI-powered shopping assistant, Rufus, by conducting high-judgment evaluations and labeling data across various modalities (text, image, video, audio). The goal is to enhance the model's fluency, provide better product research, comparisons, and recommendations to customers.

This role focuses on developing and maintaining product knowledge ontologies and taxonomies for Amazon's e-commerce platform. The Ontologist will create semantically rich data models, ensure machine ingestibility, research product understanding, and leverage generative AI for schema creation. The goal is to optimize product discovery and customer experience through a robust knowledge graph.

This role focuses on foundational data labeling for AI models, specifically for Alexa. Responsibilities include annotating text, speech, image, and video data, maintaining quality and confidentiality, and contributing to process improvements. The role requires strong analytical and research skills, attention to detail, and fluency in French and English.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

This role focuses on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, video, and image data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and identify process improvements. The goal is to support the development and responsible deployment of large language models and generative AI across Amazon's businesses.

The AI Data Associate role focuses on foundational labeling tasks for AI development, including dialogue evaluation across various data modalities (text, speech, audio, image, video). The role requires delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to improve labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) at Amazon.

This role focuses on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, video, and image data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and identify process improvements. The goal is to support the development and responsible deployment of large language models and generative AI across Amazon's businesses.

This role focuses on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, video, and image data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and identify process improvements. The goal is to support the development and responsible deployment of large language models and generative AI across Amazon's businesses.

This role focuses on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, video, and image data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and identify process improvements. The goal is to support the development and responsible deployment of large language models and generative AI across Amazon's businesses.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, to support the development and deployment of generative AI and LLMs at Amazon. This role involves working with diverse data types, delivering high-quality labeled data, analyzing root causes of errors, and proposing solutions to enhance labeling quality.

The role involves evaluating annotated datasets for training generative AI models, ensuring accuracy and consistency. It requires German fluency and attention to detail in data quality assurance and integrity.

The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, and video data. The candidate will work with various data types, deliver high-quality labeled data using in-house tools, and analyze root causes to improve labeling quality. The role requires strong analytical thinking, problem-solving, and attention to detail, with fluency in Dutch and English.

The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, and video data. The candidate will work with various data types, deliver high-quality labeled data using in-house tools, and analyze root causes to improve labeling quality. The role requires strong analytical thinking, problem-solving, and attention to detail, with fluency in Dutch and English.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, to support the development and deployment of generative AI and LLMs. The role involves working with various data types, delivering high-quality labeled data using in-house tools, and analyzing root causes to improve labeling quality.

The AI Data Associate role focuses on foundational labeling tasks for generative AI, including dialogue evaluation across text, speech, audio, image, and video data. The role involves maintaining data quality, analyzing root causes of errors, and suggesting process improvements, all while adhering to strict confidentiality and Amazon's policies for responsible AI development.

The Catalog Specialist will support Machine Learning (ML) models and data science classification algorithm development by performing data annotation and collaborating with cross-functional teams. The role requires proficiency in Spanish and German languages.

Software Development Engineer II on the AWS Applied AI Solutions team, focusing on building and maintaining the secure data foundation for AI-driven business applications. This role involves owning the complete data lifecycle from ingestion to model training and customer opt-out controls, ensuring privacy, security, and compliance. The engineer will design and implement solutions for data storage, access interfaces, and authorization systems, while also mentoring team members and resolving operational issues.

Data Scientist on the Alexa Daily Essentials team, focusing on analyzing complex data, developing statistical methodologies, and providing product insights to shape solutions. Responsibilities include problem-solving through data analysis and modeling, building data pipelines, acquiring data via SQL/ETL, and communicating complex ideas to technical and non-technical audiences.

This role focuses on applying economic expertise, causal inference, and machine learning to research and model factors driving workplace safety outcomes within Amazon's operations. The goal is to identify effective improvement programs and develop data-driven solutions to reduce risks and injuries, partnering with business and technical teams to deliver impactful insights and scalable data resources.

The role involves foundational data labeling for generative AI and LLMs, including text, speech, audio, image, and video data. Responsibilities include maintaining confidentiality, delivering high-quality labeled data according to KPIs, using in-house tools, analyzing root causes of errors, and suggesting process improvements. The role requires strong attention to detail, ability to make sound judgments, and proficiency in German.

This role focuses on building and training models for sales forecasts and planning within Amazon's Ad Sales Finance analytics team. It requires strong statistical and machine learning skills, experience with time-series forecasting, and the ability to translate complex findings into actionable business insights. The role involves working with large datasets and partnering with business leaders.