Top Natural Language Processing Jobs in Denver & Boulder, CO

Manage sales commissions, ensuring accurate payouts and efficient operations. Collaborate across teams, support commission reporting, and identify process improvements.

The Staff Growth Designer will create, test, and iterate on paid creative assets, document insights, and build partnerships with platforms like Meta, Google, and TikTok to drive performance marketing efforts.

The Enterprise Account Executive will manage sales cycles for large accounts, focusing on new logos and expanding existing accounts while working with multiple stakeholders.

As a Pre-Sales Solutions Engineer, you will drive technical pre-sales engagements, architect custom solutions, and guide customers on API integration and deployment strategies, enhancing their experience with Voice AI technologies.

Lead post-launch lifecycle, adoption, stabilization and continuous optimization of the CFC CRM platform across global markets. Own BAU roadmap, operational governance, integrations, release readiness, value measurement, and cross-functional orchestration with Data, Digital, Compliance, and Markets to ensure CRM delivers sustained commercial value and scalability.

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

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

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

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.

Design, build, validate actuarial and analytic models; develop processes for business operations, financial reporting, and MAPD bids; perform deep-dive ad hoc analyses; translate ambiguous problems into structured methodologies; present results to stakeholders and manage analytic projects end-to-end.

Proofread, edit, and sometimes translate English-to-Finnish localized content; evaluate translations in software and mobile UIs; report linguistic bugs; follow client style guides and testing instructions; troubleshoot, escalate, and complete QA tasks on time.

Proofread, edit and QA localized Norwegian content and UIs, report linguistic and functional bugs, translate when needed, follow client style guides and test cases, and troubleshoot/escalate issues to ensure high-quality localized deliverables.

Proofread, edit, and sometimes translate localized content into Danish; evaluate translations in software and mobile UIs; report linguistic and functional bugs; follow client style guides and QA test cases; troubleshoot, escalate, and complete tasks with attention to linguistic accuracy and cultural appropriateness.

As an AI Engineer, you will develop and optimize AI systems, focusing on LLM integration, vector databases, and RAG pipelines, collaborating with various teams to ensure cutting-edge performance.