Top Entry Level Artificial Intelligence Jobs

Own customer-facing operations across data suppliers and AI labs, including activation, engagement, onboarding, contract and platform issue resolution. Build trust through customer conversations, coordinate internal blockers, and convert recurring feedback into improved processes, platform capabilities, communications, and lightweight workflow systems. The role requires strong judgment, organization, follow-through, CRM familiarity, and comfort working independently in a fast-paced startup environment.

Write and shape long-form technical content about AI model evaluation, benchmarks, enterprise workflows, research, products, and emerging policy. Interview technical stakeholders, produce reports, launches, case studies, explainers, and analyses, while developing editorial strategy and ghostwriting for leadership. The role requires strong technical literacy, editorial judgment, rapid publishing ability, and in-person work in San Francisco.

Serve as a technical partner throughout the sales cycle, designing solutions, conducting demonstrations and proofs of concept, and supporting customer onboarding, implementation, expansion, and deployments. Translate industrial and security use cases into scalable drone workflows, guide API, networking, airspace, BVLOS, and docked operations strategies, and provide actionable feedback to Product and Engineering. The remote role requires 50–75% travel and significant customer engagement.

Evaluate, integrate, and test robotic hardware from suppliers; debug mechanical, electrical, and firmware issues; collaborate with supplier engineers in Mandarin and English; define requirements, build prototypes, conduct lab testing, and drive hardware improvements through production. The role is based in Watertown and requires spending approximately one-third to one-half of the time at supplier sites in China.

Own Tern’s global brand and demand generation strategy, clarify its new category, and drive growth across travel advisors, agencies, and suppliers. Responsibilities include developing messaging, sourcing customer stories, building content, PR, digital, and event programs, establishing supplier-market presence, running weekly experiments, applying AI to marketing execution, and building a small high-performing team.

Build and maintain Convex’s dashboard, integrations, CLI, MCP, and other platform services. Collaborate directly with customers and leadership to define features, create intuitive product experiences, improve access controls, and deliver high-quality full-stack software. The role emphasizes UX sensibility, architectural thinking, simplicity, pragmatism, startup adaptability, customer focus, and occasional on-call support.

Research AI infrastructure and economics across GPU cloud providers, AI model developers, and AI tokenomics. Build company datasets, reconcile conflicting evidence, maintain financial and unit-economics models, analyze disclosures and technical materials, conduct interview research, draft research notes and charts, and support consulting projects with market and financial analysis.

Design, build, and operate scalable data infrastructure for LLM research, including distributed compute, ingestion, processing, storage, data catalogs, deduplication, quality controls, monitoring, and search. Collaborate with researchers to improve data quality, accelerate training, and develop reliable, reproducible systems across petabyte-scale multimodal datasets.

Operate and scale production inference systems serving live, multi-tenant traffic. Own model rollouts, observability, capacity planning, incident response, reliability, failover, and cost optimization. Partner with research and inference teams to productionize serving techniques while maintaining system performance and resilience.

Design, build, and operate distributed infrastructure for large-scale AI model training and inference. Responsibilities include orchestration, scheduling, storage, resource management, reliability, observability, distributed failure debugging, and developing internal Python and Go libraries and APIs. The role partners with researchers and platform engineers and supports infrastructure operating across thousands of accelerators.

The Business Development Representative will research and prioritize target accounts, engage stakeholders, create personalized outbound campaigns, generate qualified pipeline, schedule meetings, maintain CRM activity, and provide prospect feedback. The role partners with Enterprise and Mid Market account executives and may eventually manage and close smaller SMB opportunities. The representative will also help refine prospecting strategies, messaging, sequencing, and team playbooks.

Own the systems, analytics, automation, and enablement supporting technical go-to-market teams. Responsibilities include designing customer pilots and sandboxes, tracking product usage and conversion, analyzing solutions consultant performance, managing demo routing, building workflow tooling, training GTM teams, and capturing competitive and prospect feedback for Product.