Simple AI jobs

AI Platform Engineer (f/m/d) Berlin, Germany At Enpal, we are not just a company; we are a movement. As a leading European greentech unicorn, we are on a mission to make clean energy simple, accessible, and scalable for homeowners across the continent. Through solar panels, heat pumps, home batteries, and EV charging, we are redefining residential energy. With Enpal Energy, we are building Europe's leading platform to manage and orchestrate millions of distributed energy assets - laying the foundation for the largest Virtual Power Plant (VPP) in Europe. Our vision: power Europe's transition to a fully decentralized, intelligent, and clean energy system. Job Description As a Senior AI Platform Engineer , you will design and build the internal AI Engine that powers all AI capabilities across Enpal Energy. This is not about wrapping APIs - it is about building the core infrastructure that makes AI reliable, scalable, and production-grade. We are looking for a systems thinker with strong engineering fundamentals and a deep understanding of modern AI systems. You care about reliability, observability, and building platforms that enable other engineers to move fast with confidence. What you will do - Own the design and development of the internal AI platform powering all AI features. - Build a robust Agent Runtime to orchestrate complex AI workflows in production. - Design scalable backend services and developer-facing APIs for AI systems. - Build internal tooling for evaluation, observability, tracing, and debugging (latency, cost, quality, reliability). - Define standards for AI quality, including evaluation

AI/ML Specialist Solutions Architect, National Security Specialists Solutions Architecture Team Arlington, Virginia, USA Amazon Web Services is seeking a Generative AI Learning Solutions Architect to support our national security. Are you excited to help Government customers to leverage generative AI in their missions? Eager to learn from many different enterprise use cases of AWS ML and generative AI? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world's AI technology? Come join us! At Amazon Web Services (AWS), we are helping the national security community build and use AI on the AWS Cloud. We are AI to large volumes of data and against a wide spectrum of problems. Generative AI is rapidly growing in importance. We're seeing more and more amazing AI work being done from simple back office applications to complex mission changing agentic workflows. Given the scale required for developing AI models, the cloud is an ideal place to deploy AI models, and Amazon Web Services (AWS) is the leader in the deployment of AI. We're looking for someone passionate and deeply excited about this space. Someone who is devoted to helping government customers understand how AI can make a big difference to their mission. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for

Senior AI Engineer - Bits AI Security Analyst Paris, France At Datadog, we're on a mission to bring security and observability together for modern organizations. Bits AI for Security is our AI agent that leverages LLMs to help analysts investigate alerts, understand threats, and respond faster. We're looking for a product-minded AI Engineer to help us build the next generation of AI-driven security capabilities. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Work closely with users, security experts, PMs, and data scientists on cutting edge AI agents that drive real value for our customers Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths Collaborate with Product, Design, and partner teams to build cohesive experiences Prototype and see what works well, iterate closely with our users and experts, and then ship Follow the latest research on GenAI and AI agents Who You Are: You have a BS/MS/PhD in Computer Science, Engineering, Artificial Intelligence or a related scientific field or equivalent experience You're a backend engineer with at least 4 years of professional experience (Go, Python, Java, etc.) who values code simplicity and performance You have relevant work experience with LLMs, large-scale systems, machine learning, or adjacent fields. You've shipped software that uses LLMs to production You want

AI Process Architect Region Europe | Country Netherlands | Internal Posting Location Amsterdam We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Business Processes Principal Consultant The SAP Customer Value Group's AI Center of Excellence (AI4U) team is focused on driving adoption and consumption of the BTP platform through the sourcing, design, and execution of customer AI proof of concepts. This team works in close collaboration throughout the organization to help craft the set of SAP Best Practices for AI development within and around BTP. Our motto is: Inspire, Innovate, Implement: AI on BTP. We will inspire customers in the art of the possible with AI + SAP, we will innovate new techniques, technologies, and methodologies to bring them to life and we will manifest our vision into reality through POCs. We are looking to hire a functional architect, who is a business process expert to isolate and identify the value of new AI driven processes across multiple industries. The preferred candidates will be insatiably curious, have

Senior Machine Learning Engineer United States Raspberry AI Raspberry AI is a leading provider of industry-defining AI design software for fashion brands and retailers. Our software empowers brands to rapidly understand consumer demand and create unique designs within minutes. Leveraging cutting-edge AI analytics and generative AI capabilities, we help fashion brands revolutionize their design and merchandising processes. We are a Series A startup, backed by top-tier venture capital firms such as Andreessen Horowitz, Khosla Ventures, MVP and Greycroft. About the Role This is a full-time remote role for a Senior Machine Learning Engineer at Raspberry AI. We are seeking a highly talented and motivated Machine Learning Engineer to join our growing ML team. In this role, you will focus on improving the quality and performance of our cutting-edge diffusion models, pushing the boundaries of generative AI in the fashion domain. Additional responsibilities may be assigned as business needs evolve. Responsibilities - Conduct applied research and experimentation on state-of-the-art diffusion model architectures and training techniques. - Implement and evaluate novel techniques for improving quality and controllability in generated designs. - Analyze and interpret experimental results, draw meaningful conclusions, and communicate findings effectively. - Collaborate closely with the team to translate prototypes into production-ready systems. - Stay abreast of the latest advancements in diffusion models, deep learning, and generative AI research. Requirements - Master's or Ph.D. in Computer Science, Machine Learning, or a related field. 3+ years of industry experience. - Strong theoretical and practical understanding of deep learning, with a focus

Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI San Francisco, CA; New York, NY AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As a Staff Agent Post-Training MLRE, you will build out our next-gen Agent RL training platform. You'll build out the platform that will train best-in-class Agents that achieve state of the art results on real enterprise use-cases. You'll integrate cutting edge research into our training stack, enabling MLREs on the Enterprise AI team to deploy use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: - Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers. - Research cutting edge algorithms to integrate directly

SDE III - (Salesforce and other CX integrations) Gurugram About the Company: Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world's largest global brands do business? Join us! About the role We are looking for an Integration Architect - Agentic Delivery who can design and implement scalable integrations between AI-powered agentic systems and enterprise platforms like Zendesk and Salesforce. This role will focus on building intelligent workflows, automations, and seamless data exchange across systems. Responsibilities Requirement Good to Have

Staff Machine Learning Engineer, Voice AI San Francisco About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications - serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Staff ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro - pushing latency and throughput to the frontier. You'll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly. This is a foundational hire on a small, high-impact team. Voice inference has unique challenges - streaming audio, tokenization, real-time latency budgets - that require dedicated ML engineering focus. You'll shape how Together serves voice models as the industry moves from pipeline architectures (ASR → LLM → TTS) toward end-to-end speech-to-speech. - Own the model serving stack that powers Together's voice platform across STT, TTS, and speech-to-speech. - Work directly with state-of-the-art accelerators (H100s, H200s, B200s) to optimize voice model inference. - Collaborate with model partners (Cartesia, Deepgram, Rime, and others) to bring their models to production on Together's infrastructure. - Build quality evaluation frameworks that guide model selection for customers and inform the roadmap. - Join a small, early-stage team with outsized impact on a fast-growing product area. Responsibilities - Own the voice inference roadmap end-to-end -

Agentic Engineer Remote - India About the Company: Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world's largest global brands do business? Join us! About the role We are looking for an Agentic Engineer to build and scale agentic workflows and tools using Netomi's no-code platform. This role requires strong software engineering fundamentals combined with prompt engineering and API-driven automation to power reliable, autonomous AI agents. Responsibilities Requirement Nice to Have

Senior Generative AI Engineer Paris, France We're a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance. We're looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents. Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products. Prototype and see what works well in the real world, iterate closely with our users, and then ship. Follow the latest research on LLM prompting, agents, and code editing. Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments. Who You Are: You're a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You've shipped software that uses LLMs to production. You are passionate about Generative AI and its ability to help software engineers be more productive. You have

Applied AI Engineer, Handshake AI Enterprise San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest

Senior AI Developer (Generative & Agentic AI (SAP BTP) Country Australia | Internal Posting Location Sydney We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. SAP is seeking a highly skilled Senior AI Developer to build and deliver enterprise-grade Generative AI and Agentic AI applications on SAP Business Technology Platform (BTP). As part of the Customer Engagement & Adoption (CE&A) - Global Delivery Hub, you will work closely with solution architects and customer teams to implement scalable, production-ready AI solutions that accelerate AI adoption across SAP landscapes. This role focuses on hands-on solution development and implementation, translating architectural designs and business requirements into robust, high-performing AI applications for enterprise deployment. Key Responsibilities Develop and implement scalable Generative AI and agentic AI applications aligned with defined solution architectures. Translate business and architectural requirements into production-ready AI application components and services. Build and optimize RAG pipelines, retrieval workflows, and hybrid AI solutions for enterprise scenarios. Implement multi-ag

Senior Applied AI Engineer, Handshake AI Enterprise San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the

Machine Learning: World Models San Francisco The Bot Company We're building a helpful robot for every home. We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences. Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution. What we look for in all candidates All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate: - Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains. - Engineering curiosity: you naturally dig into how systems work, even outside your specialty. - High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding. Machine Learning: World Models We are building neural simulators that understand the "grammar" of the physical world, including physics, causality, and long-term dynamics. You will develop video generation into controllable, large-scale world models. What You'll Do - Architect Neural Simulators: Design and train spatiotemporal models that move beyond short clips toward coherent, long-form world simulations. - Scale Training: Own the

AI Security Architect Country India | Internal Posting Location Bangalore We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build In this role, you will design and deliver secure-by-design architectures for Generative AI and Agentic AI solutions across enterprise cloud environments. You will build scalable security frameworks, controls, and reference architectures that enable safe, compliant, and production-ready AI deployments. Your work will directly strengthen how AI systems are developed, integrated, and operated-protecting critical business data, applications, and services from emerging AI-specific threats such as prompt injection, model manipulation, and data exposure. You will establish end-to-end security patterns for AI pipelines including RAG workflows, vector databases, embeddings, and agent communication. You will enable teams to confidently innovate with AI by embedding security into the full lifecycle-from architecture and development to deployment and operations. This includes integrating security into CI/CD pipelines, defining automated guardrails, and implementing monitoring,

Senior Agentic AI Engineer 8 Locations posted: Posted 30+ Days Ago

Business AI Architect Country Singapore | Internal Posting Location Singapore We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Job Summary: We are seeking an experienced AI Business Architect to lead the design, development, and implementation of AI-driven solutions within our SAP ecosystem. The ideal candidate will possess deep expertise in SAP technologies, AI frameworks and Data Science Models, ensuring seamless integration and optimization of AI capabilities to drive business innovation and efficiency. Our customers are focused on realising business outcomes, leveraging solutions and technologies, especially AI. As an SAP AI Engineering Architect, the role requires a strong understanding of working with end-to-end business process design and realization across SAP Business Suite solutions, and the ability to translate industry-specific business outcomes and process requirements into effective AI-led technical architectures and solutions. Key Responsibilities: Architect and implement AI solutions within SAP systems to create AI Agents, enhance business processes and decision-making. Design and deploy scal

AI Engineer London posted: Posted 2 Days Ago

(Senior / Expert) AI Developer / Engineer at Enterprise AI CoE (f/m/d) Region Europe | Country Germany | Internal Posting Location Munich We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you`ll do Summary: We are looking for a top-notch experienced (Senior / Expert) AI Developer to support our agile AI development team in designing, building and deploying enterprise-grade Agentic AI and ML solutions for SAP's internal business organizations. You will play a key role in developing scalable (Gen) AI and multi-agent systems and products, leveraging SAP's latest technologies, and applying strong software engineering skills combined with a deep understanding of data and MLOps practices to ensure robust, maintainable, and highly available systems. You will help empower all SAP employees by transforming trusted data into real-time insights and intelligent action, aligning with our goals of Process Simplification, Automation, and Business AI across the enterprise domains. The Role: In this role, you will work closely with AI Product Owners, data scientists, and architects to translate AI concepts

Senior AI Engineer Senior AI Engineer

SAP Business AI Architect Country India | Internal Posting Location Bangalore We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Business AI Architect Job Summary: We are seeking an experienced SAP AI Business Architect to lead the design, development, and implementation of AI-driven solutions within our SAP ecosystem. The ideal candidate will possess deep expertise in SAP technologies, AI frameworks, and SAP Business Technology Platform (BTP), ensuring seamless integration and optimization of AI capabilities to drive business innovation and efficiency. Our customers are focused on realising business outcomes, leveraging solutions and technologies, especially AI. As an SAP AI Engineering Architect, the role requires a strong understanding of working with end-to-end business process design and realization across SAP Business Suite solutions, and the ability to translate industry-specific business outcomes and process requirements into effective AI-led technical architectures and solutions. Key Responsibilities: Architect and implement AI solutions within SAP systems to enhance business processes and decision-ma

Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAI San Francisco, CA; New York, NY Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. About the General Agents Team The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. About the Role As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: - Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases. - Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints. - Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance,

AI Governance Architect (f/m/d) Region Europe | Country Germany | Internal Posting Location Garching We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you`ll do Summary: We are seeking an AI Governance Architect with strong hands-on AI & software development experience to build and implement SAP's internal AI governance infrastructure. This is a unique opportunity to combine your software engineering expertise with AI governance architecture, creating technical solutions that embed compliance, transparency, and trust directly into SAP's AI development lifecycle. The Role: As an AI Governance Architect, you will design and develop the technical infrastructure that powers SAP's internal AI Governance Platform, ensuring seamless integration across the full AI lifecycle. You will build automated governance workflows, develop monitoring and compliance tracking systems, and implement technical controls that align with the EU AI Act, ISO 42001, and NIST RMF. Working hands-on with code, you will architect APIs and integrations that connect governance capabilities with AI/ML pipelines, develop automated risk assessment tools, and creat

AI Data Associate with Dutch , Artificial General Intelligence Data Services London, England, GBR AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! This is a fixed term contract for 12 months and will require you to work from our London office 5 days a week. Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate