Top Natural Language Processing Jobs in Denver & Boulder, CO

The Audio Engineer will scale audio quality across voice AI products, design audio processing pipelines, and lead audio quality decisions during recordings, ensuring optimal sound for multiple use cases.

Lead design and delivery of an agent-based Intelligence Layer that autonomously analyzes product, usage, and revenue data. Build AI-augmented workflows, define semantic/data contracts, leverage voice models to extract insights from audio, advise CEO/Board on unit economics and NRR, and hire a small elite analytics engineering team.

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

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.

The Senior Brand Events Manager will lead the creation and management of events that promote the Superhuman brand, ensuring strategic execution and measurable outcomes while collaborating with cross-functional teams.

The role involves evaluating the quality and accuracy of machine-translated lyrics from Korean to Simplified Chinese. It focuses on assessing meaning, naturalness, and context, as well as identifying translation issues without the need for editing or actual translation work.

The role involves proofreading and translating life sciences documents from English to French Canadian, requiring expertise in pharmacy and patient-facing materials.

The Enterprise Account Executive will drive sales by managing the sales process, generating new business, engaging with prospects, and achieving revenue targets.

Lead AI-driven development efforts, modernize engineering processes to enhance quality and speed in software development, and implement best practices for AI tools.

The Talent Sourcer will develop sourcing strategies, build candidate pipelines, identify candidates, conduct qualification calls, and provide recommendations for hires.

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.

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

The Senior Machine Learning Engineer will enhance AI capabilities for defense applications, collaborate on ML models, optimize data processing, and ensure security in high-stakes environments.