Top Artificial Intelligence Jobs

Build and operate Vic.ai's integration platform that syncs ERP and financial systems with Vic. Develop backend services (TypeScript/Node.js), design typed third-party API integrations, ensure idempotent, replay-safe job processing, deploy and monitor services on AWS, contribute to AI-assisted onboarding and adjacent backend domains (Elixir, Python), and drive architectural decisions for scalable, reliable systems.

Lead customer advocacy and storytelling for Fortune 500 clients: produce case studies, video testimonials, speaking programs, executive roundtables, and customer community initiatives to convert customer success into commercial pipeline and strategic relationships.

Own and triage the support queue for LiteLLM, diagnose and reproduce customer issues, drive root-cause fixes, submit pull requests for bugs, and represent customer needs to engineering.

Own and build the data platform: design real-time ingestion, schemas, and pipelines for high-volume ML jobs; consolidate and cleanse messy datasets; enable agent context and developer access to analytics.

Own general ledger accounting and payroll oversight for month-end/year-end close. Prepare and post complex journal entries, reconcile balance sheets, analyze variances, manage multi-entity and multi-state payroll inputs, maintain payroll documentation, ensure GAAP compliance, support audits and SOX/internal control testing, and drive process improvements and automation.

Act as a remote, independent contractor who leverages senior-level sports industry relationships to introduce decision-makers to Applaudo. Provide warm introductions to VP+ contacts across franchises, leagues, venues, media rights holders, and sports tech firms; collaborate with sales on target profiles and strategy; share industry context and participate in check-ins and activation campaigns. Earn commission on deals closed from your introductions.

Annotate and label radar, camera, and other marine sensor imagery to build high-quality training datasets. Define and refine annotation standards with ML engineers, maintain labeling records, flag edge cases, and participate in quality assurance to ensure dataset integrity.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

Serve as the technical pre-sales expert, guiding architecture reviews, crafting tailored solutions, supporting onboarding and integrations, handling RFPs and security reviews, troubleshooting support issues, and translating customer needs into product feedback and scalable processes to improve the customer experience.

Serve as Odyssey's first in-house General Counsel: build the legal function and processes; manage corporate, commercial, employment, IP, data/privacy, and regulatory work; negotiate compute, multi-cloud, and hyperscaler deals; create contract templates and playbooks; manage cross-border entity, governance, and US employment compliance; decide in-house vs external counsel; support financings and board matters.