Top Artificial Intelligence Jobs in Milwaukee, WI

Review, label, and QA datasets for AI/ML training; maintain trackers, databases, and dashboards; follow annotation guidelines and SOPs; prepare and clean data; document processes; collaborate to resolve data queries while ensuring confidentiality and timely delivery.

Support the sales team by identifying leads, conducting market research, preparing sales materials and proposals, participating in meetings and presentations, and collaborating with cross-functional teams to help drive business development and ensure client satisfaction.

Lead end-to-end front-end product design and implementation: own information architecture, design intuitive user journeys, build and enforce design systems, prototype from low-fidelity to production, analyze product usage, and collaborate closely with founders to iterate for enterprise security/privacy customers.

Lead design and delivery of enhancements to a next-generation AI agent platform. Own large features and infrastructure, mentor engineers, set technical standards, drive cross-team initiatives, improve reliability and SLOs, and influence product and process decisions to scale systems supporting millions of interactions.

Lead enterprise customer success for national home care networks and health systems. Own pilots through expansion, run executive cadence, diagnose workflows, coordinate technical triage with engineering, build onboarding/playbooks, influence roadmap, and travel for go-lives and QBRs (~30%).

Deliver instructor-led simulated sessions overnight (12am–8am EST) using digital avatars to portray students, facilitate debriefs, score learner performance, complete session tasks, and provide customer-focused hosting. Requires completing training, meeting availability, and maintaining a private, wired workspace with stable internet. Part-time (20–30 hrs/week) at $26/hr.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Build and ship core product surfaces and internal tooling for an AI-focused enterprise platform. Implement data pipelines, deploy with customers, collect feedback, and iterate quickly while working directly with the founder on architecture and execution.

Design, build, and optimize end-to-end generative AI workflows for image and video production. Integrate ControlNet variants, manage model/versioning and LoRA stacks, create repeatable shot templates, test new tools/models, present findings, and act as a technical resource across creative teams while building external R&D presence.

The Sales Collateral & Enablement Specialist manages and develops sales materials, ensuring alignment with sales strategies and effective communication of the value proposition to buyers.