Top AI Research Jobs in Denver & Boulder, CO

One-year AI research fellowship for B.Tech, M.Tech, and PhD students offering a monthly stipend, research project, industry internship, computing resources, and conference support. Fellows submit resume, SOP, research proposal, and recommendations.

Join a research and advisory pipeline for an asset-management startup building an auditable reasoning engine. Advise on agentic AI, world models, interpretability, and systemic risk. Help shape research direction, identify failure modes and guardrails, and provide scholarly evidence (papers, GitHub, Google Scholar) and a short written response to demonstrate expertise.

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.

Evaluate and improve clinical AI systems through grading-criteria development, dialogue evaluation, clinical reasoning annotation, output review, guideline authoring, and difficult-case writing. The role requires physicians to assess accuracy, safety, completeness, clinical reasoning, and escalation guidance without providing direct patient care. Work is assigned across shared clinical AI workstreams and requires at least 20 hours weekly.

Partner with AI labs and enterprise teams on evaluation and human-data projects. Design methodologies, rubrics, data-collection approaches, quality frameworks, verifiers, validation systems, and reinforcement learning environments. Own projects from scoping through delivery, prototype tooling, advise customers, identify platform opportunities, collaborate with Product and Engineering, contribute to research publications, mentor colleagues, and communicate advanced AI concepts to diverse stakeholders.

Define clinical reasoning, safety boundaries, evaluation scenarios, datasets, rubrics, and acceptance thresholds for AI-enabled chronic disease products. Analyze failures and edge cases, support clinical validation and outcomes research, interpret clinical and EHR data, and collaborate with Product, Engineering, AI/ML, Data, informatics teams, and clinical stakeholders on integrations and workflows.