Top Entry Level Artificial Intelligence Jobs

The Learning Partner supports NYC schools implementing AI literacy and instructional innovation. Responsibilities include building school relationships, designing and facilitating professional learning, coaching educators, supporting AI adoption, co-designing AI tools and learning experiences, guiding school leaders through change management, and sharing field insights to improve Playlab’s platform and resources.

Manage an established portfolio of legacy clients, driving retention, growth, and expansion. Audit account health, conduct strategic check-ins and workshops, advise business owners on offers, funnels, sales, prospecting, closing, fulfillment, and AI adoption, identify upsell opportunities, resolve issues, coordinate cross-functionally, and document account activity.

Own the end-to-end user experience for a technical B2B SaaS product. Responsibilities include researching user friction, observing sessions in FullStory, prototyping flows in Figma or code, refining interaction patterns, implementing design improvements, building reusable design systems, partnering with engineers, and conducting usability tests. The role emphasizes UX refinement, edge cases, loading and empty states, smooth transitions, and incorporating user feedback.

Own Synera’s data warehouse and ingestion infrastructure, integrating GTM and business systems into reliable, documented, monitored pipelines. Build data models, reporting and forecasting layers, and agent-ready interfaces using APIs, MCP connectors, permissions, and governance. Develop retrieval infrastructure for documents and unstructured content, including chunking, embeddings, and indexing. Partner with teams across the company to improve data quality and make business information usable by AI agents.

Own end-to-end people operations across the US and UK, including payroll, benefits, onboarding, offboarding, compliance, employee data, and lifecycle processes. Build scalable systems, automate repetitive workflows, administer Rippling, coordinate with external providers, and serve as the primary resource for employee questions. The role requires hands-on execution, strong attention to detail, discretion with confidential information, and clear communication in a rapidly growing AI startup.

Build and maintain scalable full-stack applications across frontend and backend systems. Own features end-to-end, including user interface design and database optimization, while debugging production issues. Collaborate with founders on technical vision and roadmap, help establish engineering culture, engage with users, and contribute to the growth of an early-stage AI-powered insurance brokerage.

Drives new SaaS business among small healthcare practices by partnering with another account executive, managing opportunities through the sales cycle, conducting consultative sales activities, maintaining pipeline data, meeting revenue targets, and coordinating customer onboarding transitions.

Implements industrial data integrations connecting shopfloor machines, PLCs, sensors, and enterprise platforms through Litmus Edge and IIoT technologies. Configures industrial protocols, maps and normalizes data, maintains edge deployments, troubleshoots connectivity and data quality, and supports predictive maintenance use cases. The role also involves customer engagement, demonstrations, implementation handoffs, documentation, and travel to manufacturing sites.

Review and annotate video assets according to project guidelines, maintain high accuracy and consistency, identify footage quality issues, and report edge cases or contradictions to the AI team. The role also contributes feedback on questionnaire design and process improvements during extended review sessions. This is a part-time, 10-week onsite contract in San Francisco, with possible extension.

Open expression-of-interest opportunity for professionals with demonstrated impact in areas such as engineering, policy, cybersecurity, auditing, standards, or program management. Applicants should describe an achievement that influenced corporate practices, public policy, widely used software, or their broader field, and explain their interest in working with AVERI. Formal credentials are less important than verifiable impact.