Top Natural Language Processing Jobs in Denver & Boulder, CO

You will execute and improve insurance workflows, analyze operational efficiency, collaborate with product teams, and support onboarding and documentation efforts.

Work across frontend and backend to design, build, and ship annotation and review features; implement ingestion, storage, user management, and annotation pipelines; integrate model inference into workflows; optimize performance for large images/videos; design APIs and collaborate with product, operations, and annotators.

The role involves researching, writing, editing, and proofreading content across various media, while maintaining consistency and following company guidelines.

Lead and grow ReflexAI’s platform engineering: design and automate multi-cloud (GCP/AWS) infrastructure, build developer tooling and CI/CD golden paths, improve observability and on-call ergonomics with Datadog, and strengthen cloud security, secrets management, and compliance to support production-grade AI workloads.

The Sales Collateral & Enablement Specialist manages and develops sales materials, ensuring alignment with sales strategies and effective communication of the value proposition to buyers.

Lead and develop a distributed Sales Engineering team supporting US Public Sector. Establish operating models, standardize discovery/demos/Proof of Value, drive technical wins on strategic opportunities, partner with sales and cross-functional teams, and manage hiring, performance, and career growth.

Lead positioning, messaging, analyst relations, and strategic sales enablement for an AI-driven enterprise software company. Translate complex technical capabilities into executive-facing content, support enterprise sales and partner GTM, influence product strategy through market insights, and build thought leadership across analysts and industry channels.

Build and scale Covera's Revenue Operations function: own HubSpot CRM administration, pipeline management, forecasting, executive and board reporting, deal desk and pricing processes, cross-functional commercial operations, dashboards/KPIs, and scalable automation to enable predictable growth.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

Build and scale real-time backend systems for AI Agents, including orchestration, memory and context management, low-latency inference pipelines, eval frameworks, event-driven workflows, APIs (REST/gRPC), and production-grade observability, partnering with Applied AI and product teams to deploy multi-tenant, enterprise AI agent platforms.