NLP Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an NLP Engineer on a contract basis, offering a remote work location and requiring 2–5 years of experience. Key skills include expertise in NLP libraries, strong Python skills, and familiarity with LLM fine-tuning.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
-
🗓️ - Date discovered
September 14, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Remote
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🧠 - Skills detailed
#Python #Data Engineering #Cloud #AI (Artificial Intelligence) #NLP (Natural Language Processing) #"ETL (Extract #Transform #Load)" #Hugging Face #Sentiment Analysis #NLTK (Natural Language Toolkit) #Transformers #SpaCy #Libraries
Role description
Summary:Builds AI systems that process, analyze, and generate human language for text and speech applications.
Key Responsibilities:- Design NLP pipelines for tokenization, parsing, and entity recognition.- Train models for sentiment analysis, translation, or summarization.- Implement speech-to-text and text-to-speech solutions.- Optimize NLP models for accuracy and latency.- Collaborate with data engineers and linguists.
Required Skills:- Expertise in NLP libraries (SpaCy, NLTK, Hugging Face Transformers).- Familiarity with LLM fine-tuning.- Strong Python skills.- Understanding of linguistics and semantics.- Experience with cloud AI NLP services.
Experience:2–5 years in NLP engineering.
Job Type: Contract
Work Location: Remote
Summary:Builds AI systems that process, analyze, and generate human language for text and speech applications.
Key Responsibilities:- Design NLP pipelines for tokenization, parsing, and entity recognition.- Train models for sentiment analysis, translation, or summarization.- Implement speech-to-text and text-to-speech solutions.- Optimize NLP models for accuracy and latency.- Collaborate with data engineers and linguists.
Required Skills:- Expertise in NLP libraries (SpaCy, NLTK, Hugging Face Transformers).- Familiarity with LLM fine-tuning.- Strong Python skills.- Understanding of linguistics and semantics.- Experience with cloud AI NLP services.
Experience:2–5 years in NLP engineering.
Job Type: Contract
Work Location: Remote
