Top Natural Language Processing (NLP) Jobs in Los Angeles, CA

Paid remote study: complete a one-time guided English voice recording session (≈20 minutes) from your own compatible device. Participants should speak Chinese-influenced English (EN-ZH), be 18+, reside and record from an approved U.S. state, follow provided instructions, and will receive $18 for approved completion.

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.

Co-founder & CTO to own product and engineering: harden voice/LLM front desk for production reliability, build delivery and observability infrastructure, optimize unit economics, convert pilots to paying customers, recruit the founding engineering team, and represent the company technically to customers and investors.

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.

Run adversarial tests on language and multimodal models, build guardrails and real-time filters for autonomous tool use, and support RLHF alignment and constitutional AI development to ensure safe AI deployment.