ZipRecruiter

Log In

1

From Home Natural Language Processing Jobs in Hackensack, NJ

J.P. Morgan

Applied AI/ML Lead - Payments

New York, NY · On-site

Own end-to-end delivery of document extraction and natural language processing solutions, from opportunity sizing and requirements through production rollout and iteration. * Design scalable model ...

Highbrow LLC

Sr. Python AI/ML Engineer

Morris Plains, NJ · On-site

$100 - $140/hr

Work on natural language processing and machine learning * Develop innovative solutions Skills and Experience Required: Required: * Strong proficiency in Python programming. * Experience with natural ...

SonSoft Inc.

Sr. Data Scientist

Newark, NJ · On-site

They are seeking a Senior Data Scientist with extensive experience in machine learning algorithms and strong skills in Text Mining and Natural Language Processing. Responsibilities : • 10 to 15 ...

1872 Consulting

Senior Data Scientist

Manhattan, NY · On-site

... natural language processing and machine learning to generate highly effective searches from client requests automatically. • Optimize the expert outreach platform to increase the response rate. • ...

Smarsh

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

... of natural language processing , communications intelligence , financial supervision , and regulatory compliance , where unstructured data from emails, chats, voice transcripts, and trade ...

next page

Showing results 1-20

All JobsNatural Language Processing JobsFrom Home Natural Language Processing JobsFrom Home Natural Language Processing Jobs in Hackensack, NJ

From Home Natural Language Processing information

See Hackensack, NJ salary details

$9

$18

$28

How much do from home natural language processing jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for from home natural language processing in Hackensack, NJ is $18.26, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $20.96 per hour, depending on experience, location, and employer.

How to get a job in from home natural language processing?

To get a remote natural language processing (NLP) job, develop strong skills in programming languages like Python, and gain experience with NLP libraries such as NLTK or spaCy. Building a portfolio of projects, obtaining relevant certifications, and applying through online job platforms can improve your chances of securing a remote NLP position.
From Home Natural Language Processing jobs near you

AI Developer Natural Language Processing Machine Learning AWS

Accord Technologies Inc.

New York, NY • On-site

Contractor

Re-posted 26 days ago

Job description

AI Developer – Natural Language Processing,  Machine Learning & AWS 
Loction: New York, NY  (Need Onsite day 1, hybrid 3 days from office).
Duraiton: Long term
Position type: W2 contract

Job Description:

We are seeking a highly skilled and motivated AI Developer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our dynamic team. The ideal candidate will have strong hands-on experience in implementing LLMs, managing machine learning pipelines, and deploying AI solutions on cloud and server environments. Experience in the financial sector, particularly in equities, will be considered an advantage. 

Responsibilities:

  • Develop, implement, and optimize NLP solutions utilizing LLMs tailored for financial data and equities
  • Manage and deploy Machine Computing Platforms (MCP) to support scalable AI workloads.
  • Collaborate with data scientists and engineers to integrate AI models into production environments.
  • Maintain and enhance AI infrastructure on AWS cloud services and Linux-based servers.
  • Apply traditional machine learning techniques on structured large datasets to complement NLP efforts.
  • Troubleshoot and resolve software/hardware issues related to AI systems and server environments.
  • Stay updated with the latest advancements in NLP, LLMs, and machine learning best practices.

Requirements:

  • Deep knowledge of Natural Language Processing, including expertise with Large Language Models (e.g., GPT, BERT, similar architectures).
  • Hands-on experience in implementing, fine-tuning, and deploying LLMs in production.
  • Proven experience managing and operating MCP or similar machine learning platforms.
  • Strong proficiency with AWS cloud services (EC2, S3, Lambda, etc.) and experience working with Linux server environments.
  • Knowledge of traditional machine learning models applied on structured big data is a plus.
  • Prior experience in equities or financial data analysis is highly preferred.
  • Programming proficiency in Python, and familiarity with relevant AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. 
Preferred,
  • Hands-on experience deploying AI models in financial or equities contexts.
  • Familiarity with data pipeline development and big data processing tools.