NLP Engineer

Mercor is hiring an NLP Engineer on behalf of a leading AI lab. In this role, you’ll build 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. This role is ideal for candidates with a strong background in natural language processing, applied machine learning, and scalable text engineering.

• ###
• You’re a great fit if you :
• Have a background in
• computer science, computational linguistics, or related fields
• . - Are proficient with
• Hugging Face Transformers, spaCy, tokenizers, and PyTorch
• . - Have experience working with text formats like
• JSON / JSONL
• and building scalable data pipelines. - Understand
• NLP tasks
• such as classification, entity recognition, tokenization, and retrieval. - Are comfortable working with
• multilingual corpora
• and designing evaluation benchmarks. - Have strong experience with
• text preprocessing, embedding generation, and model fine-tuning
• . - Are curious about building
• RAG systems and neural search pipelines
• that combine IR and NLP.
• ###
• Primary Goal of This Role
• To design and ship NLP pipelines for classification, tokenization, and RAG that can handle large-scale, multilingual corpora, with robust frameworks for text analytics, retrieval, and evaluation.
• ###
• What You’ll Do
• 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
• ###
• Why This Role Is Exciting
• You’ll pioneer
• RAG and NLP pipelines
• that directly power next-generation AI applications. - You’ll work with
• state-of-the-art libraries
• and frameworks in NLP and IR. - You’ll contribute to
• multilingual, global-scale AI systems
• . - You’ll operate at the
• intersection of language, AI, and scalable engineering
• ###
• Pay & Work Structure
• You’ll be 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.