NLP Engineer (Remote) | Cozydesk

AI Startup

San Francisco, CARemote OKContract$140k – $220k / year

About this role

NLP Engineer (Remote) | Cozydesk Back to Job Board NLP Engineer (Remote) Remote, USA Posted 2026-07-20 Full-time ROLE SUMMARY We are hiring a hands-on NLP Engineer to build robust pipelines that convert policy, regulatory, fintech, and healthcare documents into structured, graph-ready data. You will own the full extraction lifecycle from raw text to clean, schema-validated outputs using classical NLP, deep learning, and LLM APIs. KEY RESPONSIBILITIES - Pipeline Development:  Design and build end-to-end text extraction pipelines for policy, regulatory, fintech, and healthcare documents - Entity & Clause Extraction:  Extract key entities (countries, companies, minerals) and structure policy clauses and obligations - Deep Learning & Transformers:  Fine-tune BERT / RoBERTa for NER, text classification, and relation extraction tasks - LLM Integration:  Leverage LLM APIs with structured output extraction, prompt engineering, and tool/function calling - Data Engineering:  Build scalable Python pipelines for high-volume document processing with robust pre-processing for PDF, DOCX, and HTML - Schema & Graph Readiness:  Define and enforce JSON schemas; ensure outputs are clean and compatible with knowledge graph ingestion - Accuracy Improvement:  Evaluate model performance, track metrics, and implement feedback loops to improve extraction quality over time REQUIRED SKILLS - 3–5 years hands-on NLP engineering  real production pipelines, not just model experiments - Strong Python skills: OOP, async programming, packaging, and testing - NLP frameworks: spaCy, HuggingFace Transformers, NLTK - Deep learning: fine-tuning transformer models for sequence labeling and classification - LLM API integration: prompt engineering, structured outputs, and function/tool calling - Data pipeline experience: ETL, batch processing, and text pre-processing at scale - JSON schema design and validation using pydantic or json schema GOOD TO HAVE - Experience with legal, regulatory, or policy

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