Top Entry Level Artificial Intelligence Jobs

Lead Unity’s organization-wide AI enablement strategy, training, adoption, automation, workflow redesign, and practical governance. Build prototypes and smaller AI tools, manage vendors and tooling, measure adoption and ROI, and partner with Product, Engineering, and IT on scalable solutions. The role also designs evolving responsibilities, team structures, and ways of working as AI becomes embedded across the business.

Owns end-to-end global and regional B2B marketing campaigns for Elsevier’s Academic and Government market. Develops campaign strategies, translates briefs into execution plans, coordinates Content and Creative teams, supports localized activation, tracks performance, and shares optimization insights. The role partners closely with Audience, Field, Product, Demand, and Lifecycle Marketing teams while guiding campaign delivery across multiple stakeholders.

Lead Sparq’s consulting practice as a market-facing thought leader, pre-sales partner, and player-coach. Shape AI and digital engineering perspectives, engage executive clients, solve ambiguous problems, scope opportunities, and personally support complex deals. Coach consultants through live engagements, partner with Solutions Consulting, influence hiring and team structure, and help establish a management layer for a team of approximately 30. The role is remote with travel up to 25%.

Human Resources Specialist role sponsored through an H-1B Labor Condition Application. The position is based in San Francisco, California, and Charlestown, Massachusetts, with employment scheduled from October 19, 2026, through October 18, 2029. The posting does not provide specific responsibilities or qualifications.

Own a hands-on Meta video growth engine for a consumer AI assistant. Develop and iterate UGC, screen-recording, and B-roll ads; manage campaign structures, budgets, testing, and kill criteria; optimize for retention and conversion; extract messaging and product insights; and support Apple Search Ads. The role requires disciplined media buying, low-signal attribution experience, rapid creative iteration, and independent budget decisions.

General application to match applicants with Launch Institute of Technology training programs in AI, clean energy, and advanced technology. Collects background, interests, and location to determine program eligibility and availability (remote/hybrid varies by state).

The ADAS Performance Manager supports dealerships, fleet operators, and collision centers by delivering ADAS calibration training, customer onboarding, software implementation, and workflow optimization. The role manages customer relationships, retention, growth, performance metrics, troubleshooting, and post-scan processing while sharing feedback with product and technical teams. Frequent on-site travel is required, along with automotive repair, estimating software, insurance claims, and ADAS expertise.

Build and deploy AI-powered automations, tools, agents, dashboards, data pipelines, and agentic workflows for a private equity firm and its portfolio companies. Evaluate emerging AI models and frameworks, rapidly prototype solutions, integrate Claude and Microsoft 365 tools, and iterate based on user feedback. The role requires shipping working code, collaborating directly with investment professionals, and working onsite in Manhattan Beach five days per week.

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.