Top Natural Language Processing (NLP) Jobs in Austin, TX

Design, develop, and deploy NLP and LLM-powered models to extract intent, outcomes, and sentiment from calls, chats, and digital interactions. Translate unstructured interactions into actionable insights, build evaluation frameworks, debug and improve model performance, and hand off production-ready artifacts to data engineering to improve call center efficiency and customer experience.

Remote short-term contract to review, label, classify, and validate text data for LLM training. Follow detailed guidelines, ensure accuracy and consistency, identify edge cases, perform quality checks, and meet productivity standards while working independently.

Own and improve ShopMy's LLM-powered agents by deeply understanding customer needs, writing and iterating prompts and delegation, monitoring run histories, prioritizing improvements, and partnering with product and engineering to build reliable agent orchestration and evaluation.

Translate and localize content between English and Hebrew, edit for accuracy and tone, apply language standards, provide feedback to improve language model quality, collaborate with production teams, support localization and QA for digital tools, and perform creative transcreation when required.

The Senior AI Engineer will develop AI-driven solutions using LLMs, focusing on prompt engineering, integration, research, and data utilization for payment systems.

Design, develop, and optimize scalable data systems and pipelines focused on knowledge graph construction, curation, and semantic representations. Build RDF/SPARQL-based graphs, apply ontology-driven modeling and NLP techniques to enable AI reasoning, and collaborate in a hybrid team to support knowledge generation, transformation, and analysis.

The Senior Data Scientist in Conversational AI & NLU designs and optimizes AI solutions, evaluates models, collaborates with stakeholders, and analyzes conversational data to improve user experience.

Develop and deploy AI-powered chatbot applications, design conversational flows, integrate with various platforms, and optimize performance.

Lead a team to develop groundbreaking technology combining NLP, big data, and AI to enhance digital communication and interaction.

Build and deploy AI voice agents to handle inbound intake calls, integrate them with CRMs and tracking tools, design and iterate call flows and escalation logic, monitor performance, and expand AI automations and integrations across internal and client-facing workflows.