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

Participate in a one-time, remote guided English voice recording session (~20 minutes) using your own compatible device. Must follow recording instructions, complete session in a quiet indoor environment, be at least 18, reside and record from an approved U.S. state, and submit one participation only. Approved participants who meet quality standards receive $25.

Work across AI, backend, and frontend: curate and clean writing datasets, fine-tune large language models, run training experiments, develop metrics and eval sets, build backend services in Python/Django, and implement frontend features with React.

Lead and grow a team of Conversation Designers to build and scale conversational AI experiences. Partner with Product, Engineering, Analytics, and ML teams to drive strategy, tooling, evaluation, and quality practices. Recruit and remove roadblocks, own strategic initiatives, and remain hands-on in designing, testing, and improving AI-driven conversational products.

Lead design and validation of AI-driven legal product capabilities: develop NLP/LLM and generative AI solutions (RAG, prompts), design agentic workflows, build retrieval/hybrid search strategies with embeddings and vector DBs, analyze large legal datasets, establish model evaluation best practices, translate results into product recommendations, collaborate with product and engineering, and mentor junior team members.

Join Welo Data’s remote Welsh AI contributor network for flexible projects involving text, image, or audio annotation; search, ad, and chatbot evaluation; prompt creation; and linguistic or cultural quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. This is a talent community application, not an active job opening.

Design real-world ML and NLP tasks, build reference solutions and evaluation frameworks in Python, assess LLM outputs for correctness and reasoning, identify failure modes, create scoring rubrics, and collaborate with experts to improve model capabilities. Part-time, remote contractor (~20 hours/week).

The AI/Machine Learning Engineer will develop systems for automating health benefits decisions, integrating large language models with rule-driven patterns, and ensuring compliance with regulations.

The role involves ensuring linguistic quality in TTS systems for Spanish by conducting phonetic analysis, developing lexicons, and collaborating with engineers and researchers.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

Perform language- and culture-sensitive human review and annotation of AI outputs across text, audio, and video. Generate or assess content, identify errors and cultural mismatches, provide structured annotations, and follow evaluation guidelines and QA calibration to improve models.