Amazon has 1472 active AI-related job listings. The company is heavily focused on roles within the "agents" stage, which accounts for 38% of its AI hiring, followed by "application" at 26%. Engineering is the dominant function, with 1172 positions. Over the last 30 days, Amazon has added 667 new AI roles, representing a 74% increase compared to the previous 30-day period. Frequent tech tags include agent_orchestration, model_serving, and multimodal.
Currently tracking 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1573 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), AI Data Associate (Dutch) , Artificial General Intelligence Data Services (8), Software Development Engineer, AWS (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (7). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (26%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (1023 roles), Canada (59 roles), United Kingdom (47 roles), India (23 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 696 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| FR Annotations Auditor, Community Feedback Annotation Team This role involves evaluating annotated datasets for natural language processing models, ensuring accuracy and consistency. It focuses on data quality for training generative AI. | Data | 5 |
| AI Data Associate with French, Artificial General Intelligence – Data Services The role involves foundational labeling functions for AI, including dialogue evaluation on speech, text, audio, video data, and delivering high-quality labeled data using in-house tools. It requires analyzing root causes, identifying error patterns, and proposing solutions to enhance labeling quality, as well as identifying and suggesting changes for operational issues. | Data | 5 |
| Quality Auditor - German Speaker, AGI Data Services - Ground Truth Quality |
| Data |
| 5 |
| Manager II, ML Data Operations, Global Operations Artificial Intelligence, Amazon Robotics Manager II, ML Data Operations at Amazon Robotics, leading large-scale ML data annotation and operational delivery teams. Responsible for operational excellence, people leadership, stakeholder management, quality governance, workforce planning, process optimization, and business continuity across AI/ML programs supporting Amazon Robotics and Fulfilment Technologies. | Data | 5 |
| Software Development Engineer, Customer Experience and Business Trends Software Development Engineer role focused on building and optimizing data collection and analysis platforms for customer experience improvement at Amazon. The role involves leveraging AI/ML methodologies and LLM-driven services to enhance data processing, with a primary focus on data engineering and platform development. | Data | 5 |
| Software Development Engineer, Customer Experience and Business Trends Software Development Engineer role focused on building and optimizing data collection and analysis platforms for customer experience improvement at Amazon. The role involves leveraging AI/ML methodologies and LLM-driven services to enhance data processing, with a primary focus on data engineering and platform development. | Data | 5 |
| Data Scientist II - AMZ26888.1 Data Scientist II role focused on designing and implementing scalable data science approaches, acquiring and analyzing data, and building statistical and machine learning models using large datasets. The role involves SQL/ETL, data validation, and implementing models with considerations for computational demands and reliability. | Data | 5 |
| AI Data Associate with German, Artificial General Intelligence – Data Services 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 AI responsibly. This role involves working with various data types, delivering high-quality labeled data, and analyzing root causes to improve labeling quality. | Data | 5 |
| Sr. Delivery Consultant Modernization, WWPS ProServe US-FedCiv This role focuses on designing and implementing AWS solutions, with a specific emphasis on supply chain modernization. It involves developing AI/ML models for demand forecasting and inventory optimization, architecting data pipelines, and advising on risk management strategies using predictive analytics. The role requires strong AWS expertise and consulting skills to guide customers through their cloud journey and digital transformation initiatives. | Data | 5 |
| Software Development Engineer - Big Data Analytics, Measurement, AdTech and Data Science Software Development Engineer role focused on building and operating a big data analytics and visualization platform for Amazon's advertising business. The role involves designing, developing, and deploying software products that process terabytes of data daily, applying machine learning and big data technologies to provide performance insights and measure advertising impact. It emphasizes building petabyte-scale services and inventing new big data paradigms. | Data | 5 |
| AI Data Associate with German, AGI Data Services 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. | Data | 5 |
| MAC Automation & Analytics Engineer, Leo MAC Engineer to build and own the MAC Analyzer and MAC feature automation framework, leveraging ML-based anomaly detection and predictive capabilities for diagnostics and automated validation of MAC features. | Data | 5 |
| MAC Automation & Analytics Engineer, Leo MAC Engineer to build and own the MAC Analyzer and MAC feature automation framework, leveraging ML-based anomaly detection and predictive capabilities for diagnostics and automated validation of MAC features. | Data | 5 |
| AI Data Associate with French, Artificial General Intelligence – Data Services This role is focused on AI data labeling and evaluation for generative AI and LLMs, working with various data types like text, speech, audio, image, and video. The associate will ensure high-quality labeled data, analyze errors, and suggest process improvements, contributing to the responsible development of AI. | Data | 5 |
| AI Data Associate with French, Artificial General Intelligence – Data Services The role involves foundational labeling functions for AI data, including dialogue evaluation on speech, text, audio, video, and image data. The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements to enhance labeling quality and operational efficiency. The role requires strong analytical thinking, problem-solving, attention to detail, and proficiency in French and English. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The role involves foundational labeling functions for AI, including dialogue evaluation on text, speech, audio, video, and image data. The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and propose solutions to enhance labeling quality. The goal is to support the development and deployment of generative AI and LLMs. | Data | 5 |
| AI Data Associate with Dutch, Artificial General Intelligence Data Services 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. | Data | 5 |
| AI Data Associate (Dutch-English Bilingual), Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation across text, speech, audio, image, and video data. This involves delivering high-quality labeled data using in-house tools and guidelines to meet KPIs, analyzing root causes of errors, and proposing solutions to enhance labeling quality. The role requires strong analytical thinking, attention to detail, and the ability to interpret and implement detailed instructions. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The role involves foundational labeling functions for AI, including dialogue evaluation on text, speech, audio, video, and image data. The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and propose solutions to enhance labeling quality. The goal is to support the development and deployment of generative AI and LLMs. | Data | 5 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will focus on dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets to advance NLP and ML. Responsibilities include designing data collection tasks, analyzing data for insights, building data analysis tools, and collaborating with scientists to evaluate language models. | Data | 5 |
| Software Development Engineer II, WW Returns and ReCommerce Software Development Engineer II on the Worldwide Returns and ReCommerce team at Amazon. This role involves designing, developing, and supporting large-scale distributed real-time systems. The team's mission is to reduce returns, minimize return costs, and prevent product waste. The role will leverage machine learning models for automation and signal optimization, and develop systems to manage the lifecycle of returned products. | Data | 5 |
| Software Development Engineer-II (SDE 2), Worldwide Returns & ReCommerce - OpsEval Software Development Engineer II role focused on building and scaling distributed real-time systems for Amazon's Worldwide Returns & ReCommerce operations. The role involves developing software to support complex business requirements, including training machine learning models for automation and optimization, and piloting product evaluations. Emphasis on Java, object-oriented design, and distributed databases. | Data | 5 |
| AI Data Associate (Dutch-English Bilingual), Artificial General Intelligence Data Services The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data. This role involves delivering high-quality labeled data using in-house tools and guidelines to meet KPIs, analyzing root causes of errors, and proposing solutions to enhance labeling quality. The associate will also provide floor support and identify process improvements. | Data | 5 |
| Sr Data Associate (NL), Artificial General Intelligence Data Services 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. | Data | 5 |
| Software Development Engineer II, WW Returns and ReCommerce Software Development Engineer II on the Worldwide Returns and ReCommerce team at Amazon. This role involves designing, developing, and supporting large-scale distributed real-time systems. The team's mission is to reduce returns, minimize return costs, and prevent product waste. The role will leverage machine learning models for automation and signal optimization, and develop systems to manage the lifecycle of returned products. | Data | 5 |
| 2026 Data Scientist Internship , Amazon University Talent Acquisition Masters or PhD student internship in Data Science at Amazon, focusing on developing and implementing algorithms for scientific solutions, A/B testing, and estimating customer satisfaction. The role involves working closely with scientists and engineers on customer-obsessed research and creating scalable projects. | Data | 5 |
| Software Development Engineer, Amazon Software Development Engineer role focused on expanding Amazon's product catalog using machine learning, deep learning, and information retrieval systems. The role involves designing and building scalable platforms for data processing, entity generation, and product/brand evaluation at a global scale. | Data | 5 |
| Data Scientist II - AMZ27028.1 Data Scientist II at Amazon Web Services (AWS) in Houston, TX. This role involves designing and implementing scalable data science approaches, acquiring and analyzing data using SQL/ETL, and building models with statistical and machine learning techniques. The position requires a Master's degree or equivalent experience and proficiency in SQL, R, Python, or MATLAB for model building and data analysis. | Data | 5 |
| Software Engineer II Selection Monitoring, Selection Monitoring This role focuses on building and operating large-scale data processing systems that power catalog intelligence across Amazon. It involves applying machine learning and deep learning algorithms to evaluate and enrich product data, enabling data-backed decisions and improving customer experience. The role requires developing data processing pipelines, Information Retrieval (IR) systems, and handling diverse data streams at Amazon's global scale. | Data | 5 |
| Data Scientist II - AMZ27022.1 Data Scientist II role at Amazon Web Services focusing on designing and implementing scalable data science approaches, acquiring data via SQL/ETL, and building statistical and machine learning models using large datasets. The role involves analyzing data, validating models, and implementing them with consideration for computational demands and reliability. | Data | 5 |
| Ontologist, Product Knowledge 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 ingestion and inference capabilities, and leverage generative AI for schema creation. The goal is to optimize product discovery and customer experience by understanding customer intent and product data. | Data | 5 |
| Data Scientist II - AMZ24268.1 Data Scientist II role focused on designing and implementing scalable approaches for business decision-making, involving data acquisition via SQL/ETL, analysis, and building models using various statistical and machine learning techniques. Requires experience with large datasets, SQL scripting, and modeling software like R, Python, or MATLAB. | Data | 5 |
| Data Scientist III - AMZ9803634 This role focuses on owning the data science elements of various products, including data-based decision making, product performance optimization, and tracking. The Data Scientist III will work with product managers to drive product design and build planning, translate business problems into data requirements and metrics, and initiate the design, development, and implementation of scientific analysis projects. Responsibilities include owning analysis, modeling, system design, and development of data science solutions, as well as communicating results to the business and building consensus on data strategy. | Data | 5 |
| Ontologist II - AMZ9740721 Develops and maintains data models and ontologies for Amazon's product catalog, leveraging generative AI and semantic web technologies to enhance data retrieval and product discoverability. Analyzes metrics to optimize knowledge graphs and contributes to tool development. | Data | 5 |
| Software Development Engineer, Business Data Technology, Business Data Technology Software Development Engineer role focused on building and scaling data processing and machine learning infrastructure using open-source technologies like Ray and AWS services. The role involves designing, developing, and contributing to large-scale distributed systems and data platforms that support internal customers including ML specialists and research scientists. | Data | 5 |
| AI Data Associate (NL), Artificial General Intelligence Data Services 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. | Data | 5 |
| Senior Data Associate with Dutch, Artificial General Intelligence Data Services 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. | Data | 5 |
| Sr. BIE, Amazon Global Selling -AIT This role focuses on designing, developing, and maintaining data infrastructure and ETL pipelines to support business intelligence initiatives, with a specific emphasis on implementing AI/LLM-powered solutions for task automation and statistical analysis for business decision-making. The role involves collaborating with cross-functional teams to build AI-ready foundational capabilities within the Global Selling organization. | Data | 5 |
| Quality Auditor - 한국어 韓国語 Korean , AGI Data Services The role involves performing quality audits on data submitted by Data Associates, validating automated quality measurement systems through manual reviews, and coaching Data Associates to maintain high standards of data quality for AI development and training. The primary focus is on data quality assurance for AI training. | Data | 5 |
| Data Engineer, OIS/CXI Analytics Data Engineer role focused on building and maintaining scalable data pipelines and ML-ready data infrastructure to support AI-driven operational insights and GenAI solutions within Amazon's Operations Technology ecosystem. The role involves ETL/ELT, feature engineering, and supporting Data Science and ML initiatives. | Data | 5 |
| Catalog Specialist II - German , WWRR Science Annotation Team This role supports ML model development by performing data annotation and assisting data scientists with classification algorithms. The focus is on ensuring high-quality annotated data to optimize model performance within the consumer domain. | Data | 5 |
| Quality Auditor - 한국어 韓国語 Korean , AGI Data Services The role involves performing quality audits on data submitted by Data Associates, validating automated quality measurement systems through manual reviews, and coaching Data Associates to maintain high standards of data quality for AI development and training. The primary focus is on data quality assurance for AI training. | Data | 5 |
| Senior Quality Auditor, Artificial General Intelligence This role focuses on auditing and ensuring the quality of machine learning data workflows. The Senior Quality Auditor will become an expert in specific workflows, lead teams of auditors, execute complex audits, and provide analysis and insights for optimization. The role requires hands-on audit execution and leadership experience in technical domains. | Data | 5 |
| Principal Data Engineer, Intelligent Talent Acquisition Lead high scope technical projects in Intelligent Talent Acquisition (ITA) Data team, focusing on data strategy, design, and hands-on development of complex products, mentoring data engineers, and ensuring high-quality data provision. Partner with stakeholders to develop scalable interoperability solutions. | Data | 5 |
| Data Scientist, Private Brand Analytics Data Scientist on the Core Tech Private Brands Analytics team, responsible for building and improving forecasting and planning models for Amazon Private Brands. This involves end-to-end pipeline development, replacing manual processes with code-driven solutions, and evaluating model accuracy. The role partners with business, science, and tech stakeholders and contributes to the organization's AI framework and experimentation rigor. | Data | 5 |
| ML Data Associate I 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. | Data | 5 |
| Data Solutions Lead, Data Collection Excellence 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. | Data | 5 |
| Data Scientist, Amazon Leo Global Planning, Amazon Leo 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. | Data | 5 |
| Quality Auditor - German, AGI Data Services - Ground Truth Quality 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. | Data | 5 |
| Quality Auditor - German, AGI Data Services - Ground Truth Quality 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. | Data | 5 |