Top Artificial Intelligence Jobs in Pittsburgh, PA

Create short-form finance and Excel content that demonstrates TabAI workflows, engage and educate audiences across social platforms, experiment with formats and insights, collaborate with TabAI on prompts and creative direction, and drive subscriptions via affiliate links while building a personal brand.

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).

Work directly with customers to design, deploy, and integrate end-to-end AI evaluation pipelines. Curate data, define annotation schemes, set up LLM-based judges, run initial experiments, produce actionable results, and translate technical systems into practical workflows for users.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

Six-month engineering internship building production backend services and AI pipelines. Design SQL schemas (PostgreSQL), implement SaaS integrations (REST APIs, webhooks), work with embeddings, transformer models and vector databases, build end-to-end data processing pipelines, and contribute to code reviews and architecture discussions.

Build and maintain core backend services and frontend interfaces for a music metadata and royalties platform. Own features end-to-end, collaborate with founders and designers, optimize for performance, security, and scalability, and integrate modern AI and infra tools.

Lead sales and partnership efforts with employee benefits consultants, brokers, advisors, and employers. Build and maintain partner relationships, demonstrate Milu's value proposition, drive business development, meet sales targets, and ensure excellent customer support in a remote environment.

Design and productionize ML models and agentic systems for intraday financial alpha generation. Build data pipelines, experiment frameworks, and portfolio optimization methods. Collaborate with quants and engineers to move models from research to live trading environments.

Serve as the first Customer Success Manager for law enforcement clients: drive product adoption, build relationships, resolve user issues, collect feedback, coordinate with product/engineering, create communications and training, and track key SaaS metrics (DAU, MAU, MRR/ARR, churn, expansion).

Build and run your own outbound pipeline with phone-first prospecting. Identify decision-makers, run high-volume outreach, qualify prospects, and book qualified meetings for the CEO and CTO. Help shape messaging and the outreach playbook as the company scales.