Top Natural Language Processing (NLP) Jobs in Denver & Boulder, CO

Build and deploy NLP solutions: perform EDA on text, design and evaluate models (classification, NER, information extraction), develop pipelines from regex to transformers, apply generative AI and prompt engineering, write production-grade Python, and collaborate with ML engineering to deploy and monitor scalable cloud-based solutions.

Lead a development team to design, build, and maintain conversational AI solutions on the Kore.AI platform. Architect scalable chatbots, implement NLP/NLU, integrate cloud and CI/CD pipelines, perform code reviews, troubleshoot issues, and provide technical leadership and mentoring across cross-functional teams.

Design and implement scalable ML solutions for customer experience problems. Analyze customer data, research and deploy ML/NLP models, automate model development and validation, and produce performance analyses.

Design, build, and tune NLU models and agentic virtual agents on Genesys Cloud. Create and iterate prompts and evaluation frameworks, analyze conversation logs to identify failures, and implement data-driven improvements. Work with customers to gather requirements, present findings, and optimize production performance of LLM-driven interactions.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

Evaluate and rewrite AI-generated Ukrainian text for accuracy, grammar, and cultural relevance. Create prompts and natural Ukrainian responses, perform structured ranking and grammatical checks, and collaborate with global teams to improve conversational datasets. Freelance, remote, ~10 hours/week for 1-2 months.

Design, implement, and evaluate advanced NLP/NLU systems for clinical text using transformer and research-oriented neural architectures. Prepare and enrich clinical datasets, run experiments and error analyses, mitigate model risks (bias, drift, hallucination), and partner with ML engineers to deploy models into a compliant cloud environment.

The Applied AI Scientist III develops advanced analytics solutions utilizing AI technologies, leading projects in predictive analytics and NLP to enhance healthcare operations and patient care.

As a Principal Scientist, you will guide the machine learning team in developing natural language applications, focusing on automated scoring and feedback systems. You'll contribute to R&D efforts, support innovation in EdTech, mentor team members, and pursue applied research.

The Solutions Architect will design and implement advanced Conversational AI solutions, manage projects, provide technical insights, and enhance customer value through collaboration and training.