Posted over 30 days ago. Roles like this often stay open for a while, so it's still worth applying.
NLP Engineer at Mercor
posted 1 year agoNLP Engineer | $10.5/hr | Remote (India)
Join Mercor as an NLP Engineer and help build advanced language pipelines for a leading AI lab. This contractor role offers flexible, remote work and the opportunity to design scalable NLP systems for multilingual corpora.
- Responsibilities:
- Develop NLP pipelines for classification, tokenization, and retrieval-augmented generation (RAG).
- Design robust text analytics workflows supporting multilingual datasets.
- Implement and fine-tune models using Hugging Face Transformers, PyTorch, and fastText.
- Create evaluation frameworks for model performance across diverse corpora.
- Integrate NLP solutions into broader AI and search systems.
- Collaborate with AI researchers to deliver production-grade NLP systems.
- Requirements:
- Background in computer science, computational linguistics, or related fields.
- Proficiency with Hugging Face Transformers, spaCy, tokenizers, and PyTorch.
- Experience with text formats such as JSON/JSONL and scalable data pipelines.
- Expertise in NLP tasks: classification, entity recognition, tokenization, retrieval.
- Comfortable working with multilingual corpora and designing evaluation benchmarks.
- Strong skills in text preprocessing, embedding generation, and model fine-tuning.
- Why Join?
- Pioneer RAG and NLP pipelines for next-gen AI applications.
- Work with state-of-the-art libraries and frameworks.
- Contribute to global-scale, multilingual AI systems.
- Enjoy flexible hours and weekly bonuses for task completion.
Apply now to advance your NLP career with Mercor and shape the future of AI-driven language systems.
How to apply for this role
- Upload your resume — keep it up-to-date and in English. Mercor will auto-fill your profile from it.
- Complete the AI interview — a 15-minute conversation about your experience. Be ready to discuss specific projects and challenges you've solved.
- Submit your application — only about 20% of applicants finish all the steps, so completing yours puts you well ahead.