Top Natural Language Processing Jobs in Denver & Boulder, CO

The role involves owning the go-to-market strategy for TTS, defining its narrative, leading product launches, enabling sales, and collaborating across teams.

The Senior Procurement Specialist will manage the end-to-end procurement lifecycle, negotiate contracts, improve processes, and enhance vendor relationship management while leveraging AI tools.

The Director of Partner Solutions will lead channel strategy, drive partner growth, and collaborate with teams to enhance Superhuman's market presence.

The Senior Software Engineer will design, develop, and maintain Cloud Contact Center technologies, mentor team members, and resolve bugs in production environments.

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

Evaluate and rate Spanish-language search results according to client guidelines to improve search engine experience and augment AI data. Complete training, pass client exams, follow project conventions, and meet weekly hour goals remotely.

Evaluate and rate search results in Simplified Chinese to improve search engine quality and augment AI data. Complete weekly tasks remotely (10–25 hrs/week), follow client rules and conventions, pass training and quality tests, and sign an NDA.

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 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.