Top AI Research Jobs in Chicago, IL

Conduct research and develop post-training and reinforcement learning methods for scientific foundation models, optimize large-scale training and post-training workflows on leadership-class supercomputers, and collaborate with multidisciplinary teams to apply adaptive learning systems to high-impact scientific problems, publishing and communicating results.

Lead Fever's AI search strategy to secure authoritative presence across LLMs. Design and run tests to measure LLM citations and generative visibility, build analytical frameworks, integrate data sources, collaborate with Product and Engineering on schemas and APIs for AI ingestion, evaluate new models and MCPs, and drive PR/community tactics to shape LLM perception.

As a Curriculum Specialist, you will maintain and enhance computer science curriculum, create instructional materials, and support teachers while ensuring quality and alignment with standards.

Lead discovery and delivery of AI-enabled clinical decision support features for UpToDate. Translate clinician and business needs into product requirements, experiments, roadmaps, and success metrics. Partner with engineering, design, clinical, content, analytics, and commercial teams to build responsible, trusted AI experiences that improve clinician workflows, adoption, and satisfaction.

Own product backlog and roadmap for knowledge and semantic platform capabilities (ontology, knowledge graph, taxonomy, metadata). Conduct discovery with internal clients, define semantic models, entity relationships, and requirements; partner with engineering, data, and AI teams to deliver reusable platform services; promote governance, data stewardship, validation, adoption, and metrics to improve semantic quality and AI-enabled product delivery.

Review, label, classify, and validate data used to train and evaluate Gemini. Apply detailed guidelines consistently, identify discrepancies and edge cases, perform quality checks, escalate unclear cases, and provide feedback while meeting productivity and accuracy standards in a remote contract role.

Conduct industry-focused AI research on autonomous agents and world models. Develop models involving large language models, active inference, and optimal policies, including architecture experimentation, fine-tuning, deep-learning agent development, and action optimization. Candidates will work on real-world enterprise problems while pursuing cutting-edge research during a fixed-term three- or six-month fellowship.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Create challenging, expert-level questions about animals and pets in Brazilian Portuguese, write ideal responses, and decompose them into cited facts with sources and relevance. This remote freelance engagement supports AI training-data development, requires PhD-level expertise, and involves approximately 60 flexible hours over two months. Contributors use consumer-grade LLMs for research support and prompt-difficulty calibration while producing original content.

Join Arootah's advisor network to provide fractional Chief AI Officer / AI Strategy leadership to hedge funds, private equity firms, and family offices. Advise on AI initiatives, strategy, governance, vendor evaluation, workflow automation, change management, and implementation roadmaps. Engage on project-based assignments; client origination handled by Arootah.