Top Natural Language Processing (NLP) Jobs in Boston, MA

Design, develop, and evaluate AI safety assessment systems focused on LLMs and NLP. Investigate incident reports, conduct literature reviews, create and run NLP/LLM assessments, code or train text analytics, document methods, publish research, and collaborate with engineering teams to scale assessment tools.

Build, productionize, and operate AI-driven features and integrations across frontend, backend, and model layers. Prototype and deliver agent-driven experiences (conversational interfaces, RAG, tool-calling), integrate LLMs and external data sources, and collaborate with product and design. Participate in on-call/standby duties.

Develop and deploy LLM-based solutions for document intelligence, semantic search, data extraction, and RAG systems. Design prompts and fine-tuned models, build evaluation pipelines, partner with product and engineering to ship production-ready AI features, and rapidly test new research on real customer data.

Build AI-powered product features across backend, data pipelines, and UI. Implement RAG, embeddings, vector search, prompt design, and tooling to convert messy insurance documents into reliable, source-cited capabilities and collaborate with product and customer teams.

Develop and deploy advanced ML solutions for OCR and NLP, optimizing models for performance and integrating them into production workflows while collaborating with cross-functional teams.

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.

The role involves developing and improving TTS/Voice Generation models, training, fine-tuning, evaluating speech models, and collaborating across research, engineering, and product teams in a fast-paced startup environment.

Design, build, evaluate, and scale production-ready AI solutions (LLMs, NLP, retrieval, and generative AI) to support scientific discovery. Develop RAG systems, semantic search, summarization, QA, ranking, recommendation, and evaluation frameworks. Integrate knowledge graphs and domain metadata, partner with engineering and product teams, lead technical decisions, and mentor data scientists.

The AI Solution Strategist will bridge technical teams and business stakeholders to define and launch conversational AI agents while managing multiple complex projects and ensuring customer success and engagement.

Summer internship working on transformer-based models to automate scoring of Spanish constructed responses. Collaborate with psychometricians and data scientists to design experiments, implement models in Python, evaluate with industry metrics (QWK, accuracy, SMD), and document and present findings.

Review and evaluate AI-generated responses, annotate and validate text/conversations, identify linguistic and contextual issues, and ensure annotations meet quality and linguistic guidelines to improve LLM performance.