Top Entry Level Artificial Intelligence Jobs

Leads federal opportunity capture strategy, pursuit coordination, competitive analysis, teaming, pricing, and win-probability improvement. Develops capture plans, evaluates customer needs and competitive landscapes, coordinates cross-functional teams, supports key-personnel recruiting, and presents progress to executives. Provides surge support for proposal management, content development, reviews, and sales-process improvement. Requires federal contracting knowledge, capture and proposal expertise, analytical ability, and familiarity with government contracting databases and tools.

Build interactive experiences across the company website, product, and special projects. Prototype ideas, refine interactions and motion, create visual essays and data visualizations, and develop responsive, accessible, performant websites. Collaborate with designers, marketers, and engineers from concept through production while creating reusable components and patterns. The role requires strong design instincts, frontend development ability, attention to typography and interaction details, and comfort with modern frontend and animation libraries.

The Content & Prompt Operations Specialist manages AI-assisted content workflows, ensuring accuracy and engagement in content produced. Responsibilities include writing prompts, drafting content, proofreading, and improving AI outputs while following structured processes.

Two-year leadership development program beginning in Level 1 customer support. Responsibilities include resolving client tickets, troubleshooting platform access, guiding dealership managers through data and reporting, and building customer-facing, product, sales, and operations expertise. After 12 months, participants advance to Associate Client Success Manager or Level 2 Implementation/Support Associate, followed by progression into Customer Success, Product Management, Marketing, or Sales.

Own and grow the U.S. corporate sales pipeline for AI-driven software development training. Responsibilities include engaging decision-makers, identifying business needs, tailoring training solutions, selling multi-day programs and ongoing enablement, developing long-term client relationships, and contributing to pricing, packaging, and go-to-market strategy. This is a remote, commission-based, consultative B2B sales role with potential for a future base salary.

Build and deploy generative AI applications and multi-agent systems on Google Cloud using Vertex AI, Python, BigQuery, RAG, and secure enterprise data integrations. Develop data pipelines, train and serve models, evaluate AI output, protect sensitive information, troubleshoot production systems, and collaborate with technical and business stakeholders.

Build and improve ML and data pipelines, ship full-stack product features, and enhance Mac and Windows desktop applications. Work directly with enterprise customers to clarify requirements, deploy solutions, and turn customer learnings into repeatable product improvements. The role requires high ownership, rapid execution, strong engineering practices, and measurable customer outcomes across applied ML, AI systems, product, and infrastructure.

The employer indicates they are hiring but provides no specific responsibilities, qualifications, technologies, compensation, or work requirements.

Track and evaluate emerging LLM and AI research, assess models and techniques, build prototypes, and collaborate with engineers to deploy useful methods in client systems. Advise product direction, establish metrics for accuracy, reliability, and cost, and communicate research findings clearly. The role requires strong applied research, engineering, judgment, and communication skills in a fast-changing early-stage environment.

Open application for roles across engineering, product, operations, and customer success at an AI-native EMR startup. Candidates may build AI-agent workflows, improve clinical operations, support implementations, or drive growth and adoption. Emphasis on communication, ownership, and curiosity about AI and healthcare.