NLP Engineer

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves building language pipelines for classification, retrieval-augmented generation (RAG), and tokenization. You’ll design robust text analytics and evaluation frameworks that scale across multilingual corpora, powering advanced AI-driven systems. Build NLP pipelines for classification, tokenization, and RAG tasks Design scalable text analytics workflows that support multilingual datasets Implement and fine-tune models with Hugging Face Transformers, PyTorch, and fastText Develop evaluation frameworks for model performance across diverse corpora Integrate NLP solutions into broader AI pipelines, including search and retrieval systems Collaborate with AI researchers and engineers to ship robust, production-grade NLP systems Qualifications Have a background in computer science, computational linguistics, or related fields Proficient with Hugging Face Transformers, spaCy, tokenizers, and PyTorch Experience working with text formats like JSON/JSONL and building scalable data pipelines Understand NLP tasks such as classification, entity recognition, tokenization, and retrieval Comfortable working with multilingual corpora and designing evaluation benchmarks Strong experience with text preprocessing, embedding generation, and model fine-tuning Curious about building RAG systems and neural search pipelines that combine IR and NLP Requirements Design and ship NLP pipelines for classification, tokenization, and RAG that can handle large-scale, multilingual corpora Benefits Classified as an hourly contractor to Mercor Paid weekly via Stripe Connect, based on hours logged Part-time (20–30 hrs/week) with flexible hours—work from anywhere, on your schedule Weekly Bonus of $500–$1000 USD per 5 tasks Remote and flexible working style Company Description Mercor is hiring an NLP Engineer on behalf of a leading AI lab.