Top Artificial Intelligence Jobs

Co-lead AI research focused on multimodal video-action foundation models for dexterous robotics. Responsibilities include model architecture and large-scale training, end-to-end data pipeline development, real-world robot evaluation, deployment, and mentoring AI researchers and engineers. The role requires deep generative modeling expertise, distributed PyTorch development, multi-GPU pretraining experience, and collaboration with hardware and robotics teams.

Own Cognizo’s visual identity and design system across Figma, Webflow, sales presentations, one-pagers, case studies, battlecards, ads, social creatives, product graphics, and light motion. Build reusable templates, publish assets independently, and translate short briefs into polished design options. The role is fractional, remote, self-directed, and focused on establishing a consistent B2B SaaS brand across market-facing channels.

Create short-form finance and Excel content that demonstrates TabAI workflows, engage and educate audiences across social platforms, experiment with formats and insights, collaborate with TabAI on prompts and creative direction, and drive subscriptions via affiliate links while building a personal brand.

Leads complex enterprise customer implementations from closed-won commitment through go-live, adoption, measurable ROI, and account health. Owns implementation plans, milestones, risks, technical coordination, customer onboarding, executive updates, value realization, and process improvement. Partners across Sales, Product, Engineering, AI, and customer teams while identifying expansion signals. The role requires strong enterprise stakeholder management, technical understanding of integrations and workflows, and regular customer-site travel.

Founding Growth Lead will define brand, positioning, and go-to-market from scratch. Work with founders across product marketing, content, launches, community, experimentation, and systems to drive discovery, activation, retention, and scalable growth. Own storytelling, messaging, and growth playbook for an early-stage startup.

Lead and build Skan AI’s L2 technical escalation function. Manage senior engineers, establish escalation and incident processes, troubleshoot complex issues across data, networking, APIs, LLM applications, databases, and platform performance, and partner with Product Engineering on resolutions. Drive root-cause analysis, preventive improvements, documentation, knowledge management, customer communication, and operational metrics.

Develop and close strategic mid-market and enterprise business for Build.io in the US. Own the full sales cycle, including prospecting, discovery, technical evaluation, negotiation, procurement, and closing. Build relationships with technical and executive stakeholders, manage pipeline and forecasting, drive account expansion, and help shape the company’s enterprise go-to-market strategy.

Lead system architecture and integration for an ocean-deployed floating data center platform, define interfaces and requirements, run test and qualification campaigns, manage vendor procurement for major subsystems, and translate customer data center needs into platform-level specifications.

Own post-implementation relationships with employer, broker, consultant, TPA, and healthcare partners. Lead business reviews, coordinate cross-functional initiatives, resolve issues, drive engagement, retention, and account growth while collaborating with Sales, Clinical, Product, and Operations.

Own end-to-end delivery of AI data projects, including scoping, planning, budgeting, scheduling, execution, risk management, and quality control. Serve as the primary liaison among clients, suppliers, and internal teams while managing annotated datasets and project outputs. Improve workflows, reduce costs, resolve issues, and develop scalable solution frameworks. The role requires strong communication, organizational, client-management, and cross-functional collaboration skills in a global environment.