Top Natural Language Processing Jobs in Denver & Boulder, CO

The Senior Oncology Account Specialist promotes Pfizer products to healthcare providers, educates on proper usage, and strengthens brand presence with target customers while managing account relations to enhance patient care quality.

Lead the design and implementation of ML training systems, manage a team, promote engineering culture, and drive product development.

The role involves overseeing a digital contact center platform, implementing AI and automation strategies, and advising stakeholders on performance and integration.

The Senior Manager, Lifecycle Marketing Operations will oversee lifecycle marketing processes, driving operational excellence and collaboration across teams, while managing campaigns and optimizing systems for growth.

Lead and mentor a team of engineers to design, implement, and maintain scalable, enterprise-grade services. Drive architecture decisions, conduct code and architecture reviews, define testing strategies, collaborate cross-functionally, engage with clients on complex technical issues, and continuously improve development processes and tooling.

Deliver tailored live training sessions and workshops for clients on using EliseAI products effectively, while collecting feedback and improving internal programs.

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.

Freelance interpreter pool: remote or onsite, project-based work with variable hours. Requires native-level fluency in a non-English language, 3–5 years in simultaneous or consecutive interpretation, strong English communication, reliable internet and high-quality remote equipment. Localization experience preferred. US work authorization required; Welocalize does not sponsor visas.

The Enterprise Account Executive will drive enterprise sales, meet quotas, work with leadership on sales goals, and represent Kustomer as a thought leader in the market.

The role involves architecting QuillBot's AI systems, leading R&D and Applied AI teams, and integrating cohesive workflows across products. Responsibilities include designing agent-driven systems, optimizing performance, and aligning cross-functional teams for effective execution.