Top Entry Level Artificial Intelligence Jobs

Inputs, updates, verifies, and maintains data across company systems; performs quality checks, corrects discrepancies, generates reports, protects confidential information, and recommends process improvements. Collaborates with internal teams and works independently in remote or hybrid environments.

Develop and deploy computer vision modules and machine learning models within AI pipelines. Integrate models with data and software engineering teams, support prototypes, automate data pipelines, build internal tooling, and monitor production performance. The role also involves optimization, infrastructure and security support, staying current with computer vision advancements, and collaborating cross-functionally.

Create graphics, videos, data visualizations, social content, email assets, merchandise, and event branding. Translate complex data and long-form content into accessible visual stories, develop brand identity, maintain a marketing asset library, and rapidly test and refine creative variants based on engagement and conversion results. Collaborate closely with marketing and engineering while managing a fast-paced, campaign-driven workflow.

Test new web and mobile features, report bugs and usability issues, run manual and automated tests, review requirements and designs, improve QA processes and documentation, and provide UI/UX feedback while collaborating with product, design, and engineering teams.

Build AI agent sample apps, demos, SDKs, and tutorials using Kernel’s browser infrastructure. Own technical content from concept through code, writing, video production, and documentation. Engage developer communities across GitHub, Slack, Discord, and X, while partnering with Engineering, Product, and Marketing on content strategy and launches.

Own the company’s commercial development from prospecting through signed projects. Identify developers and hyperscalers pursuing large-scale energy and data center projects, leverage investor and industry networks, educate customers on faster iterative engineering, and discover opportunities aligned with the product. Translate customer needs into product priorities while managing every detail independently. Automate repetitive work with AI and build relationships with sophisticated customers in an early, in-person San Francisco environment.

Build and improve a scan-to-BIM pipeline that converts point-cloud capture data into accurate, structured 3D BIM models. Responsibilities include model creation, mesh generation, data structuring, IFC and 3D-tool usage, and applying computer vision to automate 3D reconstruction. The role requires construction knowledge and hands-on experience with detailed 3D projects, with occasional quarterly onsite gatherings in San Francisco.

Own the finance and accounting product roadmap for an AI-native ERP, covering general ledger, AP, AR, costing, close, and financial reporting. Partner with finance leaders and operators to understand workflows, define product specifications, prioritize capabilities, and collaborate with engineering through release. Validate features, create test cases and release materials, conduct customer discovery and demos, and continuously improve the product based on customer feedback and operational needs.

Create engaging content for Autopilot covering money, investing, business, and culture. The opportunity is open to creators, filmmakers, editors, and writers at any experience level or audience size, with potential paid, contract, or project-based work. Applicants should submit links to relevant content, portfolios, or social profiles; no resume, cover letter, or pitch is required.

Design, deploy, operate, and optimize multi-petabyte high-performance storage systems supporting HPC research workloads. Implement infrastructure-as-code automation, troubleshoot storage workflows, advise researchers and software engineers on optimal storage usage, and collaborate with networking teams and vendors. The role requires expertise in clustered filesystems, scale-out storage architectures, file, block, and object storage technologies, plus Python or DevOps experience.