Openai jobs

English Language Data Contributor (Multimodal) – Freelance AI Trainer Project World Wide - Remote Are you eager to shape the future of AI? Large-scale language models are transforming the way we learn, work, and communicate-moving beyond simple tasks into tools that can support education, research, and professional practice across industries. With high-quality training data, tomorrow's AI can become smarter, more reliable, and more useful for people everywhere. That training data begins with you. We're looking for motivated individuals who are eager to contribute to the development of cutting-edge AI systems. You'll work hands-on with advanced AI tools, test model outputs, evaluate responses for accuracy and clarity, and provide structured feedback to strengthen model performance. On a typical day, you will engage with AI across a wide range of topics, review its responses for quality, document errors or gaps, and collaborate with our team to refine prompts, tasks, and evaluation methods. Your ability to think critically, spot inconsistencies, and communicate feedback clearly will directly influence how well the model learns. Early-career professionals and recent graduates preferred. No prior AI or technical experience is necessary-just curiosity, strong communication skills, and a detail-oriented mindset. Experience in research, writing, tutoring, or problem-solving will be considered a plus. Ready to launch your career in AI by helping train the systems that will shape the future? Apply today and start turning your skills into impact. We offer a pay range of $6-to-$65 per hour, with the exact rate determined after evaluating your experience and geographic location.

IT Logistics Lead, Singapore Singapore About the Team The IT Logistics team ensures every OpenAI employee has the hardware, peripherals, and secure device support they need to work effectively from day one. We manage the full lifecycle of company-owned equipment, from procurement and inventory tracking to onboarding, refreshes, repairs, returns, redeployment, and offboarding. We partner closely with IT Support, Procurement, Finance, Security, People Operations, Workplace, and regional vendors to keep global device logistics reliable, accurate, and scalable. About the Role We are looking for an IT Logistics Lead based in Singapore to own and scale IT logistics across APAC. This person will be the primary logistics owner in the region, which means the role combines hands-on inventory execution with regional program leadership, vendor management, asset management ownership, contractor oversight, and continuous improvement of logistics systems and processes. This role is intentionally technical. The right candidate can manage physical inventory and vendor relationships while also improving the systems that make those operations visible and reliable. They should be comfortable working in Oomnitza or similar asset management systems, using AI and automation to reduce manual work, and building repeatable workflows that improve inventory accuracy, hardware readiness, high-risk travel execution, procurement visibility, and asset lifecycle controls. In this role, you will: - Own APAC IT logistics operations from Singapore, including receiving, tagging, staging, secure storage, cycle counts, device readiness, shipping, returns, repairs, redeployment, and hardware fulfillment. - Manage APAC hardware procurement vendor relationships. - Own the APAC High-risk travel program end to end,

AI Security Engineer Limerick, Ireland posted: Posted 8 Days Ago

Machine Learning Engineer - 5 Bangalore posted: Posted 30+ Days Ago

【Data &AI】クラウドソリューションアーキテクト JPN - TOKYO posted: Posted 30+ Days Ago

Principal Partner Engineer — Ecosystem Remote | Texas, KY, United States Company Description: Job Description: Join the team redefining how the world experiences design. Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time-consuming, and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney. We also have a campus across the world and co-working spaces in numerous locations in the USA. But you have a choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. You'll work on Pacific Time hours and collaborate daily with Canva's engineering teams in AEST. What you'd be doing in this role Canva's Ecosystem platform sits at the centre of how the world's agentic AI systems connect to visual design. Anthropic, OpenAI, Google, Microsoft, Meta, and the next wave of AI-native platforms are all building on, against, and through our MCP server, REST APIs, and Apps platform. The shape of those integrations is being decided right now, at the engineering layer, in real conversations with real technical counterparts. Drive decisions and alignment across Partners and Canva engineering. When a partner proposes a solution that won't work, you'll explain why, generate the realistic option set, and drive it to a decision with the owning Canva teams. You'll hold the technical detail

Sr. Semantics Computer Vision Research Bangalore,India

Product Manager, Shopping San Francisco, California, United States About the Team: The Shopping team is building the future of how people discover, evaluate, and purchase products through AI. Our mission is to help users make better purchasing decisions by combining OpenAI's models with rich product information, merchant ecosystems, and personalized experiences. We sit at the intersection of AI, commerce, search, recommendations, and consumer product experiences, partnering closely with product, engineering, research, design, and business teams to reimagine shopping for the AI era. About the Role: As a Product Manager on the Shopping team, you'll define and build the next generation of AI-powered shopping experiences within ChatGPT. You'll be responsible for understanding user needs, identifying opportunities to improve product discovery and decision-making, and delivering experiences that help users confidently find and purchase the products that are right for them. You'll work across a broad set of domains, including search, recommendations, personalization, merchant and product ecosystems, and conversational commerce. This role requires strong product judgment, comfort operating in ambiguity, and the ability to balance user value, business objectives, and technical constraints. You'll partner closely with engineers, designers, researchers, and cross-functional stakeholders to bring new shopping experiences from concept to scale. This is an opportunity to help define an entirely new category at the intersection of AI and commerce, shaping how millions of users discover and buy products in the future. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: - Define and drive the

OMT OI AI Manager 2 Locations posted: Posted 30+ Days Ago

Senior Strategic Value & Process Optimisation Consultant Copenhagen, Denmark Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world's fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what's possible. We invest heavily in advanced AI capabilities-specifically our Process Intelligence Graph-to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet. Role Description - As a Senior Strategic Value & Process Optimisation Consultant (Internal Title: Senior Value Engineer) , you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world's leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis' Process Intelligence (PI) platform we feed operational context to AI so it understands our customers' business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers. This customer-facing role is ideal for people who enjoy

AI Analyst (Support Agent)- Cortex Office - Israel - Tel Aviv posted: Posted 30+ Days Ago

Inference Technical Lead, On-Device Transformers San Francisco, California, United States About the Team The Future of Computing Research team is an applied research team in the Consumer Devices group focused on developing new methods and models to support our vision as we advance forward in our mission of building AGI that benefits all of humanity. About the Role As a Technical Lead on the Future of Computing Research team, you will work together with both the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities. This role is based in San Francisco, CA. We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees. In this role, you will: - Evaluate and select silicon platforms (GPUs, NPUs, and specialized accelerators) for on-device and edge deployment of OpenAI models. - Work closely with research teams to co-design model architectures that meet real-world deployment constraints such as latency, memory, power, and bandwidth. - Analyze and model system performance, identifying tradeoffs between model design, memory hierarchy, compute throughput, and hardware capabilities. - Partner with hardware vendors and internal infrastructure teams to bring up new accelerators and ensure efficient execution of transformer workloads. - Build and lead a team of engineers responsible for implementing the low-level inference stack, including kernel development and runtime systems. - Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build

Forward Deployed Engineer - Singapore Singapore About the team OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You'll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production. - Build full-stack systems that deliver customer value and sharpen how we learn. - Embed closely with customer teams, understand their needs, and guide adoption of what you build. - Scope work, sequence delivery, and remove blockers early. - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery. - Contribute directly in the code when progress or clarity depends on it. - Codify working patterns into tools, playbooks, or building blocks that others can use. - Share field feedback that helps Research and Product understand where the models succeed

Applied AI Data Scientist 4 Locations posted: Posted 3 Days Ago

Account Director, Large Enterprise Seoul, South Korea, Seoul, South Korea About the team OpenAI's mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world's best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You'll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You'll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in Seoul, South Korea. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you'll: - Manage a small number of key accounts, developing and executing strategies for a comprehensive account plan - Lead our prospects' journeys from consideration to successful deployment - Partner with solutions and research engineering to

Machine Learning Engineer, Assessments San Francisco | Hybrid | Remote ABOUT US Our mission is to reinvent the way people learn, starting with language. Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn't been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages. Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world's leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana. ABOUT THIS ROLE We're hiring an ML Engineer, Assessments to help build best-in-class assessment systems across multiple products (Speak for Business, B2C, and new surfaces). You will work in a tight loop with our Assessment Design Lead (Content/Learning Design), Machine Learning, Product, and Engineering to turn assessment constructs and rubrics into reliable, scalable scoring + feedback systems. This role owns the implementation, deployment, and ongoing quality of our

Sr Machine Learning Manager, Intelligent System Experience San Francisco Bay Area, United States of America The Apple Intelligence Platform team builds the foundational on-device software infrastructure that powers Apple Intelligence. We develop the APIs, platforms, and systems that enable breakthrough features like Writing Tools, Siri, Visual Intelligence, and Image Playground. Our work spans the full software stack - from low-level inference engines and runtime optimization to high-level platform APIs like the Foundation Models API. Our mission is to build production-ready software platforms that deliver magical experiences to millions of users. We work closely with research teams to understand new ML techniques, then focus on the engineering challenges of building robust, scalable systems to ship them. Whether it's designing APIs for agentic workflows, optimizing inference pipelines, implementing efficient caching strategies for attention mechanisms, or creating infrastructure for search and retrieval, we're focused on the platform engineering and software architectures that makes Apple Intelligence possible. We value strong software engineering fundamentals combined with deep understanding of ML systems and techniques. Our team members know how to build production platforms that are reliable, performant, and maintainable at scale, while also understanding the ML primitives - transformers, attention, KV caches, kernels - that power these systems. We're looking for a leader who can drive platform development, build strong engineering teams, and deliver the software infrastructure that powers Apple Intelligence features used by millions every day. As a Senior Machine Learning Manager on the Apple Intelligence Platform team, you will lead a team of engineers

Tech Talk: AI Fundamentals & Applied AI Mentor San Francisco About Us Udacity is now an Accenture company, and exciting things are happening! 🚀 We are on a mission of forging futures in tech through radical talent transformation in digital technologies. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more. Our rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during their digital transformation journey. About Us Udacity is now an Accenture company, and exciting things are happening! 🚀 We are on a mission of forging futures in tech through radical talent transformation in digital technologies. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more. Our rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during their digital transformation journey. In our mission toward powering careers through tech education, we are doubling down on the support that we offer to our students. As a part of this, we are looking for experienced AI professionals to mentor learners enrolled in our business-focused AI programs. Our learners are typically managers, executives, and other senior professionals responsible for AI initiatives inside their organizations. They are working through structured Udacity curriculum and applied projects. Mentors are there to

Technical Program Manager, Safety Systems Engineering San Francisco, California, United States About the Team The Safety Systems team is in need of a Technical Program Manager to streamline our full safety stack and integration of various safety research and mitigations into ChatGPT and our API. This role is critical for driving safe deployment of our new models, synthesizing inputs from multiple stakeholders - ranging across research, product, engineering, legal, and policy - and ensuring all the risks are effectively and properly monitored, mitigated, or resolved. About the Role As a Safety Engineering TPM, you will be responsible for critical tasks ranging from tracking safety engineering progress and risk tables to overseeing critical data infrastructure programs, acting as the connective tissue to enhance the deployment of OpenAI's safety system. Additionally, you will create and execute a compute roadmap for your team to ensure that our top priorities are resourced while taking advantage of new opportunities to make key safety infrastructure investments. Your primary focus will be to build a foundational layer to support the safety of all of our models and products. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Manage key risk areas and corresponding stakeholders. - Work directly with safety engineers, engineering managers, and product managers to build common safety infrastructure. - Manage data and compute infrastructure, including data residency and capacity

Machine Learning Engineer, GenAI Technology Bengaluru, India A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company's IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We're a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What you'll do - Lead the design, development, and operation of scalable, enterprise-grade AI/ML architectures and systems with a strong emphasis on reliability, availability, and performance. - Lead and mentor a team of engineers, driving technical direction, code quality, and iterative delivery of large-scale solutions. - Partner closely with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products. - Own the end-to-end lifecycle of GenAI services, including LLM inference, model serving, and proxy/gateway layers that support multiple downstream applications. - Define and uphold engineering best practices around observability, scalability, security, and cost efficiency for AI/ML platforms. - Evaluate tools, technologies, and processes to ensure the highest quality and performance of AI/ML systems. - Stay abreast of the latest advancements in AI/ML technologies and methodologies, and translate them into pragmatic solutions for the business. - Ensure compliance with industry standards and best practices in AI/ML. What's required - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 10+

Travel Operations Lead San Francisco, California, United States About the Team The Procurement organization enables our mission by ensuring every dollar is spent responsibly, compliantly, and efficiently. As a key part of this function, this role reports to the Head of Travel & Expense (T&E) and partners closely with Procurement Operations, Accounting, Finance, and business stakeholders to own and scale the company's global Events strategy, operations, and compliance. About the Role We are looking for a Travel Operations Lead to own and mature the operating model behind OpenAI's executive and employee travel programs. This role will be hands-on in executive travel support while also building the policies, supplier relationships, data, systems, and AI-enabled workflows that allow the program to scale with speed, confidentiality, safety, and control. This person will oversee high-touch executive travel support, including complex commercial travel globally; manage travel agency and supplier performance; own the executive travel policy; and partner with Executive Business Partners to ensure travelers receive timely, high-quality support. The role will also own core employee travel operations, TMC support, on-the-road escalation management, executive travel reporting for tax and compliance purposes, and guest T&E programs. What we're looking for: We are looking for someone who understands the nuance of the travel industry and can operate at scale while continuously improving the system. This person will be hands-on in executive travel support and will own the policy, operation, supplier relationships, and support model that enable safe, efficient, and high-quality travel. The right person will bring strong operational

AI Training - Machine Learning Specialist (PST) Remote *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="7d8c6042-ac58-4acb-b90b-d08242002c4b" data-testid="conversation-turn-6" data-scroll-anchor="true" data-turn="assistant"> *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="788a8b78-cfcd-42e1-beb1-30da5949a95d" data-testid="conversation-turn-8" data-scroll-anchor="true" data-turn="assistant"> AI Trainer - Machine Learning Specialists About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI Trainer - Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $150/hr per AI task completed . You must be prepared to complete paid tasks that require one hour of uninterrupted work , though many are shorter. What you'll bring AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and

Researcher, Alignment Oversight San Francisco, California, United States About the Team The Alignment Oversight team at OpenAI develops techniques for improving control, accountability, and alignment as AI systems become more capable and agentic. We combine longer-horizon research with hands-on deployment. We study long-term questions about how increasingly intelligent systems can be supervised, constrained, and corrected, while also building oversight systems that are used in practice today, both internally and externally (see our recent work on code review and action monitoring for codex ). We also study how to learn from real-world deployments: using oversight data and human interventions to train future models to be more aligned, while preserving the effectiveness and independence of the oversight systems themselves. About the Role As a researcher on the Alignment team, you will design and run experiments that improve our ability to oversee increasingly capable models. You will work on hands-on model training, evaluation design, and research infrastructure, and translating promising oversight ideas into systems that can operate on real model traffic and real user workflows. This role combines longer-horizon research with shorter deployment sprints, with projects typically scoped around 3-6 month research timelines and aimed at directly improving future model behavior. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design and implement alignment experiments focused on oversight systems for increasingly agentic AI models. - Deploy practical

Software Engineer - AI Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience in software development and support roles within the financial sector Hands-on experience building and deploying Agentic AI solutions using tools such as FastMCP and LangChain, integrated with Azure OpenAI API and other large language models; experience with retrieval-augmented generation (RAG) implementations Proficiency in Python, JavaScript, HTML, and CSS, with strong experience across both front‑end (React or Angular) an