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NLP Engineer at Mercor. Location Information: India. 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.