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

• Weekly Bonus of $500–$1000 USD per 5 tasks.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.