Top Entry Level Artificial Intelligence Jobs

Create 3–5 authentic short-form videos weekly for TikTok, Instagram Reels, or YouTube Shorts, sharing personal experiences using Rezi for job searching and resume improvement. Content may include resume transformations, ATS score demonstrations, and career tips. Creators must film themselves, use their own stories, and post about careers, jobs, productivity, or student life. Compensation is based on verified video views, with monthly payouts managed through viral.app.

Open application for prospective team members at Seekeasy, a pre-seed startup developing generative AI recommendation engines. The company seeks builders, owners, and collaborative team players who can work autonomously, ship products, iterate from feedback, and solve real-world discovery challenges using technologies such as generative AI, computer vision, and NLP. Specific role responsibilities and qualifications are not provided.

Designs and supports data architecture, processing, management, and engineering operations. Builds and executes ETL pipelines, integrates data flows with industry-standard systems, and works across AWS, HDFS, Cloudera, Spark, Presto, SQL, and NoSQL environments. Collaborates with technical and non-technical stakeholders while supporting data acquisition, exploitation, and management. Optional work includes targeting workflows, large language models, agentic workflows, Neo4j, and hard-target mission areas.

Own strategic healthcare customer relationships, quota attainment, account expansion, renewals, and retention. Diagnose clinical and operational workflow challenges, build executive-level business cases, guide customers toward appropriate AI solutions, and partner with Clinical Engineers on technical implementations. Monitor product usage, identify upsell opportunities, forecast expansion pipeline, and drive adoption of Heidi’s AI-powered healthcare workflows.

Own the full-cycle sales process from prospecting and pipeline generation through discovery, negotiation, contracting, and close. Build relationships with healthcare and technology stakeholders, manage complex and lengthy buying cycles, maintain accurate CRM forecasts, communicate clinical and financial value, and partner with Marketing, Solutions Engineering, and Customer Success. The role requires quota achievement, strong hunting, discovery, negotiation, contracting, communication, and responsiveness. Experience with SaaS, value-based care, or risk adjustment technology is beneficial.

Customer Success Manager role supporting CommerceIQ’s enterprise customers using an AI-powered commerce platform for content, media, and sales workflows, with a focus on display advertising. The posting does not provide specific responsibilities or qualification details.

Own end-to-end delivery of Salesforce engineering and transformation initiatives, managing scope, schedules, budgets, risks, dependencies, resources, governance, Agile ceremonies, releases, UAT, cutover, and stabilization. Coordinate cross-functional and distributed teams while communicating delivery health, risks, decisions, and recovery plans to executives and stakeholders. Drive quality, compliance, change management, continuous improvement, and predictable outcomes across complex Salesforce projects.

Evaluate and validate machine learning outputs against financial theory, client objectives, and market dynamics. Translate research signals into investment strategies, portfolio construction, and testable modeling specifications. Design and scale quantitative models in Python and Java, develop financial validation frameworks, and collaborate with ML researchers and technical teams to integrate research into production. Communicate quantitative insights clearly across technical and business stakeholders.

Leads and grows Synthesia’s regional presales team in NYC. Responsibilities include hiring and developing 5–10 Solutions Engineers, coaching discovery, demos, workshops, proofs of concept, and executive readouts, and managing forecasting, pipeline hygiene, performance, and deal risk. Partners with Sales, Product, Customer Success, Enablement, and Product Marketing to improve win rates, refine presales methodology, support strategic opportunities, and communicate product feedback. The role is hands-on in high-impact enterprise deals and requires fluency in MEDDPICC and Command of the Message.

Own customer deployments of an AI-powered control-testing platform, including configuration, control prioritization, testing attributes, samples, and integrations. Train and coach internal audit teams, advise on control testing and evidence sufficiency, support AI-assisted audit reviews, resolve customer issues, and relay product feedback to engineering. Build deployment playbooks and help-center content while managing multiple customer accounts.