Top Artificial Intelligence Jobs

Work on applied AI consulting engagements: create client-ready deliverables, document requirements, test systems, lead junior staff, support PMO reporting, run stakeholder workshops, train users, and build client relationships.

Lead and mentor engineering teams in applied AI/ML projects. Define architectures, propose technologies, build reference implementations, contribute code and CI/CD pipelines, and work with clients on enterprise deployments (LLMs, MLOps, RAG, vector/graph databases). Shape engineering practices and influence business development.

Conduct independent, governance-focused research on AI scheming and loss-of-control risks; produce reports, papers, legal analyses; collaborate with technical teams, policymakers, and external researchers; mentor junior researchers and shape team strategy.

Participate in a 14-day remote pilot using a qualifying Google Pixel as primary device. Interact naturally with apps that generate notifications, complete daily notification-sorting tasks, submit short daily feedback/check-ins, and report technical issues. Maintain confidentiality and follow provided instructions.

Participate in a 14-day notification-sorting pilot using a qualifying Google Pixel device. Interact naturally with apps that generate notifications, complete daily sorting tasks and short feedback/check-in forms, report issues, and follow confidentiality and project instructions.

Remote, 14-day participant study using a Google Pixel 9+ as your primary phone. Interact naturally with apps that generate notifications, complete daily notification-sorting tasks (10–15 minutes/day), submit short feedback forms, report issues, and follow confidentiality and project instructions.

Participate in a 14-day notification-sorting pilot using a qualifying Google Pixel device. Interact naturally with apps that generate notifications, complete daily sorting tasks, submit short daily feedback/check-ins, and report technical issues while following confidentiality and project instructions.

Participate in a 14-day remote pilot using a qualifying Google Pixel device to naturally interact with notification-generating apps, complete daily notification-sorting tasks, and submit short daily feedback and documentation. Must follow instructions, report technical issues, and maintain confidentiality.

Participate in a 14-day remote notification-sorting pilot using a qualifying Google Pixel device. Interact naturally with apps that generate notifications, complete daily sorting tasks and short feedback forms, report issues, and follow confidentiality and project instructions.

Participate in a 14-day remote pilot using a qualifying Google Pixel device to interact naturally with apps that generate notifications. Perform daily notification sorting/organization tasks (10–15 minutes/day), submit short daily feedback/check-ins, follow project instructions, report technical issues, and maintain confidentiality per the User Agreement. Completion yields a one-time $150 payment.

Participate in a 14-day remote pilot using a qualifying Google Pixel device to interact naturally with apps that generate notifications, complete daily notification-sorting tasks, and submit brief feedback/check-ins. Must follow instructions, report issues, and maintain confidentiality.

Remote participants who are native or expert-level Italian speakers will use a qualifying Google Pixel device for 14 consecutive days to interact with notification-generating apps, complete daily notification-sorting tasks, and submit short daily feedback. Participants must follow confidentiality terms and complete background screening. Project pays $250 upon successful completion.

Build end-to-end product features for an AI-native assistant: design polished UI/UX, implement backend plumbing, and ship LLM-powered experiences across web, desktop, and mobile. Work on suggestion engines, workflow builders, team-shared automation surfaces, and trusted agent interactions. Be a foundational full‑stack hire influencing product direction and delivering a fast, delightful experience.

8-week in-person/virtual fellowship teaching entrepreneurship with an AI focus. Weekly 60-minute sessions in San Francisco, virtual mentorship, optional networking events, and mandatory Pitch Day. Participants collaborate in cohorts, learn product-building, receive mentorship from industry experts and investors, and may pitch for funding. Designed for students (high school to PhD) with technical aptitude, communication skills, leadership, and active participation.

Lead design and delivery of the AI payment platform: build and productionize ML/LLM models, operate MLOps and inference services, ensure low-latency payment integrations, own AWS and hybrid deployments, enforce PCI-DSS, implement observability, and mentor the engineering team.

Lead architecture and implementation of agentic AI systems powering Zuma's platform. Rebuild onboarding and integration frameworks, implement analytics and observability for LLM performance, translate product needs into technical solutions, mentor engineers, establish engineering standards, and work directly with customers to enable scalable, production-grade AI experiences.

Lead end-to-end development and production deployment of agentic AI systems and full-stack products. Architect integrations with property management systems, improve reliability and observability, define engineering standards, and partner with product and operations to ship scalable AI agents across voice, text, and email.

Produce AI-generated product imagery and presentation-ready visualizations; craft and refine AI-written content for proposals, RFPs, and marketing; build prompt frameworks and scalable workflows; collaborate with Sales, Design, Marketing, and RFP teams to prioritize and deliver on content requests while ensuring brand alignment.

Own full sales cycle for AI-driven energy management solutions across energy-intensive industries. Lead consultative technical and executive conversations, develop tailored proposals with engineering teams, build long-term stakeholder relationships, and maintain pipeline discipline to drive revenue and decarbonization impact.

The Principal Technical Program Manager will lead AI initiatives, oversee program execution, ensure cross-functional cooperation, and track AI project impact metrics.

Evaluate and strengthen AI model behavior on cybersecurity topics by writing expert prompts, annotating and grading model responses for accuracy and safety, and applying structured guidelines to classify sensitive content. Work part-time on AI safety tasks with emphasis on secure, responsible handling of dual-use information.

The SEO Strategy Manager leads SEO strategies, enhances AI-driven workflows, manages client relations, and monitors KPIs to drive performance and measurable outcomes.

Lead end-to-end ML implementations for clients, design and maintain production-grade MLOps pipelines, deploy and optimize Generative AI/LLM and NLP solutions, manage infrastructure (Docker, orchestration, distributed compute), and communicate technical results to stakeholders.

The AI Engineer will design and implement scalable AI systems, collaborate with stakeholders, and influence AI strategy to integrate AI solutions into business operations while ensuring compliance with regulations.

Build and ship full‑stack, LLM-powered product features (tutoring agents, copilots, dashboards, retrieval and evals). Own smaller systems end‑to‑end, use AI coding tools daily, write evals and regression tests, and iterate rapidly with founders and senior engineers.